Dr Ahmed Elshafie

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Gradient boosting–based flood risk forecasting using limited daily rainfall observations

Article • Expert Systems with Applications, January 2027, Elsevier

Dr Ahmed Elshafie
Multi-scale SPI drought forecasting and threshold-based early warning using optimized machine learning models: A case study of Sharjah, United Arab Emirates

Article • Journal of Hydrology Regional Studies, December 2026, Elsevier

Dr Ahmed Elshafie
State-of-the-art artificial intelligence and hybrid model approaches for sediment load prediction in dynamic watersheds

Article • Engineering Applications of Artificial Intelligence, October 2026, Elsevier

Dr Ahmed Elshafie
Flood mapping approaches: a review of models, data accuracy, limitations, and future perspectives

Article • Natural Hazards, June 2026, Springer Science + Business Media

Dr Ahmed Elshafie
Impact of Autonomous Vehicles on Driving Behaviour Incident Occurrence on Malaysian Highways: a CoExist Micro-Model and Genetic Algorithm Approach

Article • Networks and Spatial Economics, May 2026, Springer Science + Business Media

Dr Ahmed Elshafie
Integration of an adaptive neuro-fuzzy inference system (ANFIS) model for groundwater level prediction utilizing feature engineering techniques in the training process

Article • Neural Computing and Applications, February 2026, Springer Science + Business Media

Dr Ahmed Elshafie
Advancing climate change impact assessment on global hydropower systems: Methodologies, models, and recommendations

Article • Renewable and Sustainable Energy Reviews, January 2026, Elsevier

Dr Ahmed Elshafie
Deep learning for groundwater level simulation in unconfined aquifers across the contiguous United States: Analyzing simulations at multiple lead times and integrating groundwater signatures

Article • Journal of Hydrology, January 2026, Elsevier

Dr Ahmed Elshafie
Leveraging the Self-Attention Mechanism: Cutting-Edge predictive modeling for ozone concentration dynamics

Article • City and Environment Interactions, January 2026, Elsevier

Dr Ahmed Elshafie
Regional dynamics and vulnerabilities of flash floods in peninsular Malaysia: insights into watershed risks and global hydrological comparisons

Article • International Journal of River Basin Management, December 2025, Taylor & Francis

Dr Ahmed Elshafie
The urban heat Island effect: A review on predictive approaches using artificial intelligence models

Article • City and Environment Interactions, December 2025, Elsevier

Dr Ahmed Elshafie
Review on climate change impacts on hydropower potentials: mitigation and adaptation strategies

Article • Energy Reports, December 2025, Elsevier

Dr Ahmed Elshafie
A multi-scale CNN-GRU fusion model with stationary wavelet transform for 14-day ahead dam water level prediction

Article • Scientific Reports, November 2025, Springer Science + Business Media

Dr Ahmed Elshafie
Hybrid hydrological modeling: Integration of machine learning and conventional hydrology

Article • Physics and Chemistry of the Earth Parts A/B/C, November 2025, Elsevier

Dr Ahmed Elshafie
Optimizing dam water level prediction through a one-shot neural architecture search

Article • Ain Shams Engineering Journal, November 2025, Elsevier

Dr Ahmed Elshafie
Deciphering the teleconnections of extreme temperature indices with local scale meteorology using wavelet coherence

Article • Physics and Chemistry of the Earth Parts A/B/C, October 2025, Elsevier

Dr Ahmed Elshafie
Generative adversarial network-enhanced machine learning models for high-precision prediction of rectangular concrete-filled steel tube strength

Article • Engineering Structures, September 2025, Elsevier

Dr Ahmed Elshafie
Advances in AI-based rainfall forecasting: a comprehensive review of past, present, and future directions with intelligent data fusion and climate change models

Article • Results in Engineering, September 2025, Elsevier

Dr Ahmed Elshafie
A comparative study on the characteristics and alteration mechanism of terminal blend crumb rubber-modified bitumen with crosslinking additives

Article • Construction and Building Materials, September 2025, Elsevier

Dr Ahmed Elshafie
An explainable AI-driven feature selection deep learning fusion model for dam water level forecasting

Article • Hydrological Sciences Journal, August 2025, Taylor & Francis

Dr Ahmed Elshafie
Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia

Article • Journal of Hydrology Regional Studies, August 2025, Elsevier

Dr Ahmed Elshafie
A practical temporal transfer learning model for multi-step water quality index forecasting using A CNN-coupled dual-path LSTM network

Article • Journal of Hydrology Regional Studies, August 2025, Elsevier

Dr Ahmed Elshafie
Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data

Article • Scientific Reports, July 2025, Springer Science + Business Media

Dr Ahmed Elshafie
Metaheuristic-based prediction of flexural strength and dual-objective optimization for circular concrete-filled steel tubes

Article • Composite Structures, July 2025, Elsevier

Dr Ahmed Elshafie
Editorial: Ensuring water security for sustainable development

Article • AQUA - Water Infrastructure Ecosystems and Society, July 2025, IWA Publishing

Dr Ahmed Elshafie
Forecasting solar power generation as a renewable energy utilizing various machine learning models

Article • Theoretical and Applied Climatology, June 2025, Springer Science + Business Media

Dr Ahmed Elshafie
River water quality monitoring using machine learning with multiple possible in-situ scenarios

Article • Environmental and Sustainability Indicators, June 2025, Elsevier

Dr Ahmed Elshafie
Toward Sustainable Campus Energy Management: A Comprehensive Review of Energy Management, Predictive Algorithms, and Recommendations

Article • Energy Nexus, June 2025, Elsevier

Dr Ahmed Elshafie
Harnessing satellite precision: flash flood vulnerability mapping in arid wadis

Article • Natural Hazards, May 2025, Springer Science + Business Media

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Advancements in rainfall-runoff prediction: Exploring state-of-the-art neural computing modeling approaches

Article • Alexandria Engineering Journal, May 2025, Elsevier

Dr Ahmed Elshafie
A Comparative Analysis of Machine Learning Models for Simulating, Classifying, and Assessment River Inflow

Article • Water Resources Management, April 2025, Springer Science + Business Media

Thieu Nguyen, Dr Ahmed Elshafie
Can Time and Cost Efficiency Be Enhanced for GWQI Prediction Utilizing Machine Learning Modeling?

Article • Water Resources Management, April 2025, Springer Science + Business Media

Dr Ahmed Elshafie
Machine Learning-based Model for Groundwater Quality Prediction: A Comprehensive Review and Future Time–Cost Effective Modelling Vision

Article • Archives of Computational Methods in Engineering, March 2025, Springer Science + Business Media

Dr Ahmed Elshafie
Flash flood data compilation and risk insights in Peninsular Malaysia: a data-driven analysis (2014–2019)

Article • Natural Hazards, March 2025, Springer Science + Business Media

Dr Ahmed Elshafie
Climate challenges for sustainable hydropower development and operational resilience: A review

Article • Renewable and Sustainable Energy Reviews, March 2025, Elsevier

Dr Ahmed Elshafie
Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques

Article • Results in Engineering, March 2025, Elsevier

Dr Ahmed Elshafie
Comparative analysis of three soft computing techniques for optimizing reservoir rule curves

Article • Water Practice & Technology, February 2025, IWA Publishing

Dr Ahmed Elshafie
Water Footprint Assessment to Map and Quantify Water Consumption and Water Pollution Incurred: A Case Study of Malaysia

Article • Water Air & Soil Pollution, February 2025, Springer Science + Business Media

Dr Ahmed Elshafie
A review on machine learning models for drought monitoring and forecasting

Article • Climate Risk Management, January 2025, Elsevier

Dr Ahmed Elshafie
Asymmetric Loss Functions-Guided Prediction and Intelligent Design Optimization of Concrete-Filled Steel Tube

Article • January 2025, Elsevier

Dr Ahmed Elshafie
Bridging the Gap in Recycled Aggregate Concrete (RAC) Prediction: State-of-the-Art Data-Driven Framework, Model Benchmarking, and Future AI Integration

Article • Computer Modeling in Engineering & Sciences, January 2025, Tsinghua University Press

Dr Ahmed Elshafie, Yap Soon Poh
Data-Driven Prediction and Cost-Effective Design Optimization for Concrete-Filled Double-Skin Steel Tubes

Article • January 2025, Elsevier

Dr Ahmed Elshafie
Effects of Kernel Size and Input Channel on the Performance of CNN and Hybrid Models in Dam Water Level Forecasting

Article • January 2025, Springer Science + Business Media

Dr Ahmed Elshafie
Sustainable Multi-Objective Design Optimization and Prediction of Ultimate Load Capacity under Eccentric Loading for Rectangular Concrete-Filled Steel Tube Columns

Article • January 2025, Elsevier

Dr Ahmed Elshafie
A Multi-Functional Genetic Algorithm-Neural Network Model for Predicting Suspended Sediment Loads

Article • Water Resources Management, December 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model

Article • Environmental Sciences Europe, December 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Different Time-Increment Rainfall Prediction Models: a Machine Learning Approach Using Various Input Scenarios

Article • Water Resources Management, December 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Optimization of reservoir operation by sine cosine algorithm: A case of study in Algeria

Article • Sustainable Computing Informatics and Systems, December 2024, Elsevier

Dr Ahmed Elshafie
Artificial Intelligence -Driven Insights into Bisphenol A Removal Using Synthesized Carbon Nanotubes

Article • Microporous and Mesoporous Materials, November 2024, Elsevier

Dr Ahmed Elshafie
Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater

Article • International Journal of Biological Macromolecules, October 2024, Elsevier

Dr Ahmed Elshafie
Enhancing hydrological predictions: optimised decision tree modelling for improved monthly inflow forecasting

Article • Journal of Hydroinformatics, September 2024, IWA Publishing

Dr Ahmed Elshafie
Improving sea level prediction in coastal areas using machine learning techniques

Article • Ain Shams Engineering Journal, September 2024, Elsevier

Dr Ahmed Elshafie
Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives

Article • Construction and Building Materials, September 2024, Elsevier

Dr Ahmed Elshafie
Physical and mechanical properties of pre-treated plant-based lightweight aggregate concretes: A review

Article • Construction and Building Materials, September 2024, Elsevier

Dr Ahmed Elshafie
Data-driven water quality prediction for wastewater treatment plants

Article • Heliyon, September 2024, Elsevier

Dr Ahmed Elshafie
Development and Characterization of Basalt Fiber-Reinforced Green Concrete Utilizing Coconut Shell Aggregates

Article • Sustainability, August 2024, MDPI AG

Dr Ahmed Elshafie
Enhancing hydrological data completeness: A performance evaluation of various machine learning techniques using probabilistic fusion imputer with neural networks for streamflow data reconstruction

Article • Journal of Hydrology, August 2024, Elsevier

Dr Ahmed Elshafie
Adapting reservoir operations for optimal water management under varying climate and demand scenarios using metaheuristic algorithms

Article • Ain Shams Engineering Journal, August 2024, Elsevier

Dr Ahmed Elshafie
Application of integrated artificial intelligence geographical information system in managing water resources: A review

Article • Remote Sensing Applications Society and Environment, August 2024, Elsevier

Dr Ahmed Elshafie
Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms

Article • Materials Today Communications, August 2024, Elsevier

Dr Ahmed Elshafie
Predicting daily wind speed using coupled multi-layer perceptron model with water strider optimization algorithm based on fuzzy reasoning and Gamma test

Article • Soft Computing, July 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Geneticizing input selection based advanced neural network model for sediment prediction in different climate zone

Article • Ain Shams Engineering Journal, July 2024, Elsevier

Dr Ahmed Elshafie
Updated review on current approaches and challenges for poly- and perfluoroalkyl substances removal using activated carbon-based adsorbents

Article • Journal of Water Process Engineering, July 2024, Elsevier

Dr Ahmed Elshafie
Groundwater quality parameters prediction based on data-driven models

Article • Engineering Applications of Computational Fluid Mechanics, June 2024, Taylor & Francis

Dr Ahmed Elshafie
Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction

Article • Scientific Reports, June 2024, Springer Science + Business Media

Dr Ahmed Elshafie, Thieu Nguyen
Machine learning predictions for carbon monoxide levels in urban environments

Article • Results in Engineering, June 2024, Elsevier

Prof Dr Christian Sonne, Dr Ahmed Elshafie
Correction: Smart system for water quality monitoring utilizing long-range-based Internet of Things

Article • Applied Water Science, May 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Temporal and Spatial Local Scour Profile of Cylindrical Pier in Cohesive Sediment Mixture

Article • Iranian Journal of Science and Technology Transactions of Civil Engineering, May 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion

Article • Groundwater for Sustainable Development, May 2024, Elsevier

Dr Ahmed Elshafie
A novel experimental method for measuring the direct tensile strength of concrete

Article • Materials Testing, March 2024, De Gruyter

Dr Ahmed Elshafie
Smart system for water quality monitoring utilizing long-range-based Internet of Things

Article • Applied Water Science, March 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Groundwater level forecasting with machine learning models: A review

Article • Water Research, March 2024, Elsevier

Dr Ahmed Elshafie
An advanced deep learning model for predicting water quality index

Article • Ecological Indicators, March 2024, Elsevier

Dr Ahmed Elshafie
Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios

Article • Agricultural Water Management, March 2024, Elsevier

Dr Ahmed Elshafie
Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia

Article • Results in Engineering, March 2024, Elsevier

Dr Ahmed Elshafie
The benefits and perspectives of the palm oil industry in Malaysia

Article • Environment Development and Sustainability, February 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms

Article • Water Resources Management, February 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Review of driving-behaviour simulation: VISSIM and artificial intelligence approach

Article • Heliyon, February 2024, Elsevier

Dr Ahmed Elshafie
Corrigendum to “Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysia” [Heliyon 9, Issue 5, May 2023, Article e15740]

Article • Heliyon, February 2024, Elsevier

Dr Ahmed Elshafie
Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system

Article • The Science of The Total Environment, February 2024, Elsevier

Dr Ahmed Elshafie
An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers

Article • Environmental Sciences Europe, January 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting

Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Development and Characterization of Basalt Fiber Reinforced Green Concrete Utilizing Coconut Shell Aggregates

Article • January 2024, Elsevier

Dr Ahmed Elshafie
Land Cover Mapping Based on Open-Source Data and Software: Kelantan Area Case Study

Article • January 2024, Springer Science + Business Media

Dr Ahmed Elshafie
Rainfall modeling using two different neural networks improved by metaheuristic algorithms

Article • Environmental Sciences Europe, December 2023, Springer Science + Business Media

Dr Ahmed Elshafie, Professor Shamsuddin Shahid
Enhancing sediment transport predictions through machine learning-based multi-scenario regression models

Article • Results in Engineering, December 2023, Elsevier

Dr Ahmed Elshafie
Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models

Article • Ain Shams Engineering Journal, December 2023, Elsevier

Dr Ahmed Elshafie
Application of Machine Learning for Daily Forecasting Dam Water Levels

Article • Tikrit Journal of Engineering Sciences, November 2023, Tikrit University

Dr Ahmed Elshafie
Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

Article • Alexandria Engineering Journal, November 2023, Elsevier

Dr Ahmed Elshafie
Prediction of atmospheric carbon monoxide concentration utilizing different machine learning algorithms: A case study in Kuala Lumpur, Malaysia

Article • Environmental Technology & Innovation, November 2023, Elsevier

Dr Ahmed Elshafie
Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes

Article • Scientific Reports, October 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Correction: Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia

Article • Environment Development and Sustainability, October 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Solid waste modeling using artificial inelegance tools

Article • Environment Development and Sustainability, September 2023, Springer Science + Business Media

Associate Professor Mohammad K Younes, Dr Ahmed Elshafie
Space–time heterogeneity of drought characteristics in Sabah and Sarawak, East Malaysia: implications for developing effective drought monitoring and mitigation strategies

Article • Applied Water Science, September 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Streamflow classification by employing various machine learning models for peninsular Malaysia

Article • Scientific Reports, September 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Predicting sea levels using ML algorithms in selected locations along coastal Malaysia

Article • Heliyon, September 2023, Elsevier

Dr Ahmed Elshafie
A Review of Hybrid Deep Learning Applications for Streamflow Forecasting

Article • Journal of Hydrology, September 2023, Elsevier

Dr Ahmed Elshafie
Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia

Article • Applied Water Science, August 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Monthly rainfall forecasting modelling based on advanced machine learning methods: tropical region as case study

Article • Engineering Applications of Computational Fluid Mechanics, August 2023, Taylor & Francis

Dr Ahmed Elshafie
Deep learning model on rates of change for multi-step ahead streamflow forecasting

Article • Journal of Hydroinformatics, August 2023, IWA Publishing

Dr Ahmed Elshafie
Analysis of urban heat islands with landsat satellite images and GIS in Kuala Lumpur Metropolitan City

Article • Heliyon, August 2023, Elsevier

Dr Ahmed Elshafie
Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study

Article • Heliyon, July 2023, Elsevier

Dr Ahmed Elshafie
Chemically treated silica aerogel for the use in lightweight cementitious composite

Article • Case Studies in Construction Materials, July 2023, Elsevier

Dr Ahmed Elshafie
Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia

Article • Heliyon, July 2023, Elsevier

Dr Ahmed Elshafie
Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms

Article • Case Studies in Construction Materials, July 2023, Elsevier

Dr Ahmed Elshafie
Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications

Article • Archives of Computational Methods in Engineering, June 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Graph convolutional network – Long short term memory neural network- multi layer perceptron- Gaussian progress regression model: A new deep learning model for predicting ozone concertation

Article • Atmospheric Pollution Research, June 2023, Elsevier

Dr Ahmed Elshafie
Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall

Article • Water Resources Management, May 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysia

Article • Heliyon, May 2023, Elsevier

Dr Ahmed Elshafie
Predicting Sea Level Rise Using Artificial Intelligence: A Review

Article • Archives of Computational Methods in Engineering, April 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique

Article • Scientific Reports, April 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting

Article • KSCE Journal of Civil Engineering, April 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

Article • Ain Shams Engineering Journal, April 2023, Elsevier

Dr Ahmed Elshafie
Water budget-salt balance model for calculating net water saving considering different non-conventional water resources in agricultural process

Article • Heliyon, April 2023, Elsevier

Dr Ahmed Elshafie
Integrated GIS and multivariate statistical approach for spatial and temporal variability analysis for lake water quality index

Article • Cogent Engineering, March 2023, Taylor & Francis

Dr Ahmed Elshafie
Sediment load prediction in Johor river: deep learning versus machine learning models

Article • Applied Water Science, February 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Separation and attribution of impacts of changes in land use and climate on hydrological processes

Article • Theoretical and Applied Climatology, January 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Development of inundation maps along East Coast of Peninsular Malaysia due to predicted seaquake from Manila Trench

Article • Applied Water Science, January 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Application of the Whale Optimization Algorithm (WOA) in Reservoir Optimization Operation Under Investigation of Climate Change Impact: A Case Study at Klang Gate Dam, Malaysia

Article • January 2023, Springer Science + Business Media

Dr Ahmed Elshafie
Application of Machine Learning in Wave Overtopping – a Review and Perspective

Article • January 2023, Elsevier

Dr Ahmed Elshafie
Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia

Article • Applied Water Science, December 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms

Article • December 2022, Research Square

Dr Ahmed Elshafie
Integrated nonlinear autoregressive neural network and Holt winters exponential smoothing for river streaming flow forecasting at Aswan High

Article • Earth Science Informatics, December 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Three Steps towards Better Forecasting for Streamflow Deep Learning

Article • Applied Sciences, December 2022, MDPI AG

Dr Ahmed Elshafie
Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms

Article • Scientific Reports, December 2022, Springer Science + Business Media

Dr Ahmed Elshafie
River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network

Article • Applied Water Science, December 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process

Article • Applied Water Science, November 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Investigating dam reservoir operation optimization using metaheuristic algorithms

Article • Applied Water Science, November 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Utilizing deep learning machine for inflow forecasting in two different environment regions: a case study of a tropical and semi-arid region

Article • Applied Water Science, November 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Conceptual Sim-Heuristic optimization algorithm to evaluate the climate impact on reservoir operations

Article • Journal of Hydrology, November 2022, Elsevier

Dr Ahmed Elshafie
Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques

Article • Water Resources Management, October 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Investigating photovoltaic solar power output forecasting using machine learning algorithms

Article • Engineering Applications of Computational Fluid Mechanics, October 2022, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Evaluation of weather-productivity models of construction labour for tropics

Article • Built Environment Project and Asset Management, September 2022, Emerald

Dr Ahmed Elshafie
Mechanical and Thermal Properties of Composite Precast Concrete Sandwich Panels: A Review

Article • Buildings, September 2022, MDPI AG

Dr Ahmed Elshafie, Dr Fadzli Mohamed Nazri
Enhancement of Satellite Precipitation Estimations with Bias Correction and Data-Merging Schemes for Flood Forecasting

Article • Journal of Hydrologic Engineering, September 2022, American Society of Civil Engineers (ASCE)

Dr Ahmed Elshafie
Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches

Article • Applied Soft Computing, September 2022, Elsevier

Dr Ahmed Elshafie
Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

Article • Ain Shams Engineering Journal, September 2022, Elsevier

Dr Ahmed Elshafie
Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios

Article • Applied Intelligence, August 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source

Article • Engineering Applications of Computational Fluid Mechanics, August 2022, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
A scoping review of flash floods in Malaysia: current status and the way forward

Article • Natural Hazards, July 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Optimal operation of hydropower reservoirs under climate change

Article • Environment Development and Sustainability, July 2022, Springer Science + Business Media

Dr Ahmed Elshafie
An efficient hardware implementation of CNN-based object trackers for real-time applications

Article • Neural Computing and Applications, July 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Rainfall prediction using multiple inclusive models and large climate indices

Article • Environmental Science and Pollution Research, July 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction

Article • Scientific Reports, June 2022, Springer Science + Business Media

Dr Ahmed Elshafie
State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting

Article • Archives of Computational Methods in Engineering, June 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction

Article • Alexandria Engineering Journal, June 2022, Elsevier

Dr Ahmed Elshafie
A comparison of machine learning models for suspended sediment load classification

Article • Engineering Applications of Computational Fluid Mechanics, May 2022, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models

Article • Environmental Science and Pollution Research, May 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates

Article • Stochastic Hydrology and Hydraulics, May 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level

Article • Journal of Cleaner Production, May 2022, Elsevier

Dr Ahmed Elshafie
Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms

Article • Applied Water Science, March 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms

Article • Scientific Reports, March 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan

Article • Scientific Reports, March 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Using Metaheuristics Algorithms (MHAs) to Optimize Water Supply Operation in Reservoirs: a Review

Article • Archives of Computational Methods in Engineering, March 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia

Article • Ain Shams Engineering Journal, March 2022, Elsevier

Dr Ahmed Elshafie
Application of Soft Computing in Predicting Groundwater Quality Parameters

Article • Frontiers in Environmental Science, February 2022, Frontiers

Dr Ahmed Elshafie
A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms

Article • Archives of Computational Methods in Engineering, February 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster

Article • Natural Hazards, February 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Rainfall Variability Index (RVI) analysis of dry spells in Malaysia

Article • Natural Hazards, February 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia

Article • Engineering Applications of Computational Fluid Mechanics, February 2022, Taylor & Francis

Professor Ozgur Kisi, Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques

Article • Engineering Applications of Computational Fluid Mechanics, February 2022, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Spatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transform

Article • Journal of Hydrology, February 2022, Elsevier

Dr Ahmed Elshafie
Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches

Article • Archives of Computational Methods in Engineering, January 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts

Article • Stochastic Hydrology and Hydraulics, January 2022, Springer Science + Business Media

Dr Ahmed Elshafie
The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction

Article • Hydrological Sciences Journal, January 2022, Taylor & Francis

Professor Ozgur Kisi, Dr Ahmed Elshafie
Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation

Article • Frontiers in Environmental Science, January 2022, Frontiers

Dr Ahmed Elshafie
Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms

Article • Scientific Reports, January 2022, Springer Science + Business Media

Dr Ahmed Elshafie
Multiple imputations by chained equations for recovering missing daily streamflow observations: a case study of Langat River basin in Malaysia

Article • Hydrological Sciences Journal, January 2022, Taylor & Francis

Dr Ahmed Elshafie
Sediment Incipient Motion in Sewer with a Bed Deposit

Article • Teknik Dergi, January 2022, Teknik Dergi

Dr Ahmed Elshafie, Assoc. Prof. Ir. Dr. Charles H.J. Bong
Total iron removal from aqueous solution by using modified clinoptilolite

Article • Ain Shams Engineering Journal, January 2022, Elsevier

Amir hossein Salimi, Dr Ahmed Elshafie
A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

Article • Alexandria Engineering Journal, January 2022, Elsevier

Dr Ahmed Elshafie
Development of prediction model for phosphate in reservoir water system based machine learning algorithms

Article • Ain Shams Engineering Journal, January 2022, Elsevier

Dr Ahmed Elshafie
Forecasting of Reservoir Inflow Using Machine Learning—Case Study: Klang Gate Dam Reservoir

Article • December 2021, Springer Science + Business Media

Dr Ahmed Elshafie
An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery

Article • Ain Shams Engineering Journal, December 2021, Elsevier

Dr Ahmed Elshafie
Predicting freshwater production in seawater greenhouses using hybrid artificial neural network models

Article • Journal of Cleaner Production, December 2021, Elsevier

Dr Ahmed Elshafie
Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging

Article • Ecological Indicators, December 2021, Elsevier

Dr Ahmed Elshafie
Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy

Article • Energy Reports, November 2021, Elsevier

Dr Ahmed Elshafie
Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron

Article • Energy Reports, November 2021, Elsevier

Dr Ahmed Elshafie
A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia

Article • Earth Science Informatics, October 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Application of Artificial Intelligence Models for modeling Water Quality in Groundwater: Comprehensive Review, Evaluation and Future Trends

Article • Water Air & Soil Pollution, October 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Drought modelling by standard precipitation index (SPI) in a semi-arid climate using deep learning method: long short-term memory

Article • Neural Computing and Applications, September 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia

Article • Scientific Reports, September 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Torsional Crack Localization in Palm Oil Clinker Concrete Using Acoustic Emission Method

Article • Materials, September 2021, MDPI AG

Dr Ahmed Elshafie
Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm

Article • Environmental Science and Pollution Research, September 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components

Article • Journal of Cleaner Production, September 2021, Elsevier

Dr Ahmed Elshafie
Development of Crack Width Prediction Models for RC Beam-Column Joint Subjected to Lateral Cyclic Loading Using Machine Learning

Article • Applied Sciences, August 2021, MDPI AG

Dr Ahmed Elshafie, Dr Fadzli Mohamed Nazri
The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization

Article • Earth Science Informatics, August 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia

Article • Soil Dynamics and Earthquake Engineering, August 2021, Elsevier

Dr Ahmed Elshafie
Groundwater quality forecasting modelling using artificial intelligence: A review

Article • Groundwater for Sustainable Development, August 2021, Elsevier

Dr Ahmed Elshafie
An evaluation of various data pre-processing techniques with machine learning models for water level prediction

Article • Natural Hazards, July 2021, Springer Science + Business Media

Dr Ahmed Elshafie
A review of models for water level forecasting based on machine learning

Article • Earth Science Informatics, July 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Advanced water level prediction for a large-scale river–lake system using hybrid soft computing approach: a case study in Dongting Lake, China

Article • Earth Science Informatics, July 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Groundwater level as an input to monthly predicting of water level using various machine learning algorithms

Article • Earth Science Informatics, July 2021, Springer Science + Business Media

Dr Ahmed Elshafie
A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem

Article • Applied Soft Computing, July 2021, Elsevier

Dr Ahmed Elshafie
Chemerin As A Non-Invasive Serum Marker for Non-Alcoholic Fatty Liver Disease

Article • The Egyptian Journal of Hospital Medicine, July 2021, Egypts Presidential Specialized Council for Education and Scientific Research

Dr Ahmed Elshafie
Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm

Article • Applied Soft Computing, July 2021, Elsevier

Dr Ahmed Elshafie
Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq

Article • Stochastic Hydrology and Hydraulics, June 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular Malaysia

Article • Natural Hazards, June 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms

Article • Ain Shams Engineering Journal, June 2021, Elsevier

Dr Ahmed Elshafie
Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

Article • Ain Shams Engineering Journal, June 2021, Elsevier

Dr Ahmed Elshafie
Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

Article • Ain Shams Engineering Journal, June 2021, Elsevier

Dr Ahmed Elshafie
Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction

Article • Ain Shams Engineering Journal, June 2021, Elsevier

Dr Ahmed Elshafie
RBFNN versus GRNN modeling approach for sub-surface evaporation rate prediction in arid region

Article • Sustainable Computing Informatics and Systems, June 2021, Elsevier

Dr Ahmed Elshafie
Potential of Epoxidised Natural Rubber Alumina Nanoparticles (ENRAN) sheet as local bridge pier scour countermeasure

Article • Ain Shams Engineering Journal, June 2021, Elsevier

Dr Ahmed Elshafie
Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia

Article • Sustainability, May 2021, MDPI AG

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
A new soft computing model for daily streamflow forecasting

Article • Stochastic Hydrology and Hydraulics, May 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Towards an Efficient Hardware Implementation of CNN-Based Object Trackers

Article • May 2021, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
An Efficient Hardware Implementation of CNN-Based Object Trackers for Real-Time Applications

Article • April 2021, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Suspended sediment load prediction using long short-term memory neural network

Article • Scientific Reports, April 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Investigating the application of artificial intelligence for earthquake prediction in Terengganu

Article • Natural Hazards, April 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling

Article • Journal of Water Process Engineering, April 2021, Elsevier

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models

Article • Soft Computing, March 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

Article • International Journal of Environmental Science and Technology, February 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review

Article • Water Air & Soil Pollution, February 2021, Springer Science + Business Media

Dr Ahmed Elshafie
Reservoir water balance simulation model utilizing machine learning algorithm

Article • Alexandria Engineering Journal, February 2021, Elsevier

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques

Article • Engineering Applications of Computational Fluid Mechanics, January 2021, Taylor & Francis

Professor Ozgur Kisi, Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network

Article • Engineering Applications of Computational Fluid Mechanics, January 2021, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms

Article • Engineering Applications of Computational Fluid Mechanics, January 2021, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique

Article • Engineering Applications of Computational Fluid Mechanics, January 2021, Taylor & Francis

Dr Ahmed Elshafie
Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms

Article • IEEE Access, January 2021, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Ecological Engineering Approach as a Sustainable Solution for Wastewater and Surface Water Issues in Rural Areas of Bario, Sarawak, Malaysia

Article • IOP Conference Series Earth and Environmental Science, December 2020, Institute of Physics Publishing

Dr Ahmed Elshafie
Hydraulic Modelling Analysis for Road Stormwater Drainage Evaluation under RCPs‎ Based Rainfall Data

Article • Civil Engineering and Architecture, December 2020, Horizon Research Publishing Co., Ltd.

Dr Ahmed Elshafie
Developing reservoir evaporation predictive model for successful dam management

Article • Stochastic Hydrology and Hydraulics, November 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan

Article • International Journal of Design & Nature and Ecodynamics, November 2020, International Information and Engineering Technology Association

Dr Ahmed Elshafie
Architectural Concrete: Overview

Article • Arabian Journal for Science and Engineering, November 2020, Springer Science + Business Media

Dr Sujay Raghavendra Naganna, Dr Ahmed Elshafie
The Practical Influence of Climate Change on the Performance of Road Stormwater Drainage Infrastructure

Article • Journal of Engineering, November 2020, Hindawi Publishing Corporation

Dr Ahmed Elshafie
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting

Article • Journal of Hydrology, November 2020, Elsevier

Dr Ahmed Elshafie
Enhancing the performance of data-driven models for monthly reservoir evaporation prediction

Article • Environmental Science and Pollution Research, October 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization

Article • Journal of Hydrology, October 2020, Elsevier

Professor Ozgur Kisi, Dr Ahmed Elshafie
Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data

Article • Construction and Building Materials, October 2020, Elsevier

Dr Ahmed Elshafie
Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach

Article • Journal of Cleaner Production, October 2020, Elsevier

Dr Ahmed Elshafie
Optimised neural network model for river-nitrogen prediction utilizing a new training approach

Article • PLOS One, September 2020, PLOS

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction

Article • Environmental Science and Pollution Research, August 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Fault Detection of Bearing using Support Vector Machine-SVM

Article • August 2020, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm

Article • Natural Hazards, August 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Estimation of total dissolved solids (TDS) using new hybrid machine learning models

Article • Journal of Hydrology, August 2020, Elsevier

Dr Ahmed Elshafie
Delay Factors Management and Ranking for Reconstruction and Rehabilitation Projects Based on the Relative Importance Index (RII)

Article • Sustainability, July 2020, MDPI AG

Dr Ahmed Elshafie
Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy

Article • Sustainability, July 2020, MDPI AG

Dr Ahmed Elshafie
Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm

Article • Environmental Science and Pollution Research, July 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm

Article • Environmental Science and Pollution Research, July 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow

Article • Journal of Hydrology, July 2020, Elsevier

Dr Ahmed Elshafie
Correction to: Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods

Article • International Journal of Environmental Science and Technology, June 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

Article • Hydrological Sciences Journal, June 2020, Taylor & Francis

Dr Ahmed Elshafie
Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm

Article • Soft Computing, June 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Optimized fuzzy inference system to enhance prediction accuracy for influent characteristics of a sewage treatment plant

Article • The Science of The Total Environment, June 2020, Elsevier

Dr Ahmed Elshafie
Application of non-parametric approaches to identify trend in streamflow during 1976–2007 (Naula watershed)

Article • Alexandria Engineering Journal, June 2020, Elsevier

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models

Article • Sustainability, May 2020, MDPI AG

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network

Article • Water Resources Management, May 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Complex Extreme Sea Levels Prediction Analysis: Karachi Coast Case Study

Article • Entropy, May 2020, MDPI AG

Dr. Ahmed Sefelnasr, Dr Ahmed Elshafie
Reference Evapotranspiration Modeling Using New Heuristic Methods

Article • Entropy, May 2020, MDPI AG

PhD Alban Kuriqi, Professor Ozgur Kisi, Dr Ahmed Elshafie
Advanced machine learning model for better prediction accuracy of soil temperature at different depths

Article • PLOS One, April 2020, PLOS

Dr Ahmed Elshafie
Feedforward Artificial Neural Network-Based Model for Predicting the Removal of Phenolic Compounds from Water by Using Deep Eutectic Solvent-Functionalized CNTs

Article • Molecules, March 2020, MDPI AG

Dr Ahmed Elshafie
Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm

Article • Water, March 2020, MDPI AG

Dr Ahmed Elshafie
Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting

Article • Scientific Reports, March 2020, Springer Science + Business Media

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

Article • Journal of Hydrology, March 2020, Elsevier

Professor Ozgur Kisi, Dr Ahmed Elshafie
Artificial Neural Network (ANN) model development for predicting just suspension speed in solid-liquid mixing system

Article • Flow Measurement and Instrumentation, March 2020, Elsevier

Dr Ahmed Elshafie
Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm

Article • Natural Resources Research, February 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Investigating the Influence of Meteorological Parameters on the Accuracy of Sea-Level Prediction Models in Sabah, Malaysia

Article • Sustainability, February 2020, MDPI AG

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Precision of raw and bias-adjusted satellite precipitation estimations (TRMM, IMERG, CMORPH, and PERSIANN) over extreme flood events: case study in Langat river basin, Malaysia

Article • Journal of Water and Climate Change, January 2020, IWA Publishing

Dr Ahmed Elshafie
Crow Algorithm for Irrigation Management: A Case Study

Article • Water Resources Management, January 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model

Article • Applied Sciences, January 2020, MDPI AG

Dr Ahmed Elshafie
Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods

Article • International Journal of Environmental Science and Technology, January 2020, Springer Science + Business Media

Dr Ahmed Elshafie
Efficient river water quality index prediction considering minimal number of inputs variables

Article • Engineering Applications of Computational Fluid Mechanics, January 2020, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction

Article • Engineering Applications of Computational Fluid Mechanics, January 2020, Taylor & Francis

Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr
Application of a Coordination Model for a Large Number of Stakeholders with a New Game Theory Model

Article • Water Resources Management, December 2019, Springer Science + Business Media

Dr Ahmed Elshafie
Precipitation Forecasting Using Multilayer Neural Network and Support Vector Machine Optimization Based on Flow Regime Algorithm Taking into Account Uncertainties of Soft Computing Models

Article • Sustainability, November 2019, MDPI AG

Dr. Ahmed Sefelnasr, Dr Ahmed Elshafie
A New Method for Flood Routing Utilizing Four-Parameter Nonlinear Muskingum and Shark Algorithm

Article • Water Resources Management, November 2019, Springer Science + Business Media

Dr Ahmed Elshafie
Machine learning methods for better water quality prediction

Article • Journal of Hydrology, November 2019, Elsevier

Dr Ahmed Elshafie
ANFIS-based model for predicting actual shear rate associated with wall slip phenomenon

Article • Soft Computing, October 2019, Springer Science + Business Media

Dr Ahmed Elshafie
Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions

Article • Applied Sciences, October 2019, MDPI AG

Dr Ahmed Elshafie
ANNs and inflow forecast to aid stochastic optimization of reservoir operation

Article • Journal of Applied Water Engineering and Research, October 2019, Taylor & Francis

Dr Ahmed Elshafie
Prediction of Suspended Sediment Load Using Data-Driven Models

Article • Water, October 2019, MDPI AG

Dr Ahmed Elshafie, Professor Ozgur Kisi
A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation

Article • Journal of Hydrology, October 2019, Elsevier

Dr Ahmed Elshafie
Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model

Article • Sustainability, September 2019, MDPI AG

Dr Ahmed Elshafie
Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam

Article • Hydrological Sciences Journal, September 2019, Taylor & Francis

Dr Sujay Raghavendra Naganna, Dr Ahmed Elshafie
Toward Bridging Future Irrigation Deficits Utilizing the Shark Algorithm Integrated with a Climate Change Model

Article • Applied Sciences, September 2019, MDPI AG

Dr Ahmed Elshafie
Review on heavy metal adsorption processes by carbon nanotubes

Article • Journal of Cleaner Production, September 2019, Elsevier

Dr Ahmed Elshafie
Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent

Article • International Journal of Molecular Sciences, August 2019, MDPI AG

Dr Ahmed Elshafie
Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms

Article • Sustainability, August 2019, MDPI AG

Dr Ahmed Elshafie
Materials Challenges in Reconstruction of Historical Projects: A Case Study of the Old Riwaq Project

Article • Sustainability, August 2019, MDPI AG

Dr Ahmed Elshafie
Towards a time and cost effective approach to water quality index class prediction

Article • Journal of Hydrology, August 2019, Elsevier

Dr Ahmed Elshafie
Accuracy Enhancement for Zone Mapping of a Solar Radiation Forecasting Based Multi-Objective Model for Better Management of the Generation of Renewable Energy

Article • Energies, July 2019, MDPI AG

Dr Ahmed Elshafie
Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios

Article • Water, June 2019, MDPI AG

Dr Ahmed Elshafie
Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods

Article • Water, June 2019, MDPI AG

Dr Ahmed Elshafie
New Evolutionary Algorithm for Optimizing Hydropower Generation Considering Multireservoir Systems

Article • Applied Sciences, June 2019, MDPI AG

Dr Ahmed Elshafie
Identification of potential sites for runoff water harvesting

Article • Proceedings of the Institution of Civil Engineers - Water Management, June 2019, ICE Publishing

Dr Ahmed Elshafie
Fast CNN-Based Object Tracking Using Localization Layers and Deep Features Interpolation

Article • June 2019, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration

Article • PLOS One, May 2019, PLOS

Dr Ahmed Elshafie
Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction

Article • PLOS One, May 2019, PLOS

Dr Ahmed Elshafie
Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies

Article • Water Resources Management, May 2019, Springer Science + Business Media

Dr Ahmed Elshafie
Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors

Article • Water, May 2019, MDPI AG

Dr Ahmed Elshafie
Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach

Article • Environmental Progress & Sustainable Energy, May 2019, Wiley

Professor/PhD Ako Rashed Hama, Dr Ahmed Elshafie
Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies

Article • Sustainability, April 2019, MDPI AG

Dr Ahmed Elshafie
A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems

Article • Sustainability, April 2019, MDPI AG

Dr Ahmed Elshafie
Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment

Article • Water Resources Management, April 2019, Springer Science + Business Media

Dr Ahmed Elshafie
A clean approach for functionalized carbon nanotubes by deep eutectic solvents and their performance in the adsorption of methyl orange from aqueous solution

Article • Journal of Environmental Management, April 2019, Elsevier

Dr Ahmed Elshafie
Rheological wall slip velocity prediction model based on artificial neural network

Article • Journal of Experimental & Theoretical Artificial Intelligence, March 2019, Taylor & Francis

Dr Ahmed Elshafie, shaliza ibrahim, WAN ZURINA WAN JAAFAR
Efficient forecasting model technique for river stream flow in tropical environment

Article • Urban Water Journal, March 2019, Taylor & Francis

Professor Ahmad Zaharin Aris, Dr Ahmed Elshafie
A Survey on Hardware Implementations of Visual Object Trackers

Article • IET Image Processing, February 2019, the Institution of Engineering and Technology (the IET)

Serag Habib, Al-Hussein El-Shafie, Dr Ahmed Elshafie
Lead removal from water using DES functionalized CNTs: ANN modeling approach

Article • January 2019, Desalination Publications

Dr Ahmed Elshafie
Evaluation of bias-adjusted satellite precipitation estimations for extreme flood events in Langat river basin, Malaysia

Article • Hydrology Research, January 2019, IWA Publishing

WAN ZURINA WAN JAAFAR, Dr Ahmed Elshafie
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation

Article • Neural Computing and Applications, January 2019, Springer Science + Business Media

Dr Ahmed Elshafie
Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance

Article • Knowledge-Based Systems, January 2019, Elsevier

Dr Ahmed Elshafie
Novel reservoir system simulation procedure for gap minimization between water supply and demand

Article • Journal of Cleaner Production, January 2019, Elsevier

Dr Ahmed Elshafie
Sensitivity analysis of artificial neural networks for just-suspension speed prediction in solid-liquid mixing systems: Performance comparison of MLPNN and RBFNN

Article • Advanced Engineering Informatics, January 2019, Elsevier

Dr Ahmed Elshafie
Delay Factors in Reconstruction Projects: A Case Study of Mataf Expansion Project

Article • Sustainability, December 2018, MDPI AG

Dr Ahmed Elshafie
New approach to mimic rheological actual shear rate under wall slip condition

Article • Engineering With Computers, December 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill

Article • Environmental Science and Pollution Research, December 2018, Springer Science + Business Media

Dr Ahmed Elshafie
New approach for developing soft computational prediction models for moment and rotation of boltless steel connections

Article • Thin-Walled Structures, December 2018, Elsevier

Dr Ahmed Elshafie
The state-of-the-art system dynamics application in integrated water resources modeling

Article • Journal of Environmental Management, December 2018, Elsevier

Dr Ahmed Elshafie
Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm

Article • Water, September 2018, MDPI AG

Dr Ahmed Elshafie
Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm

Article • Water, August 2018, MDPI AG

Professor Ozgur Kisi, Dr Ahmed Elshafie
The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration

Article • Water, August 2018, MDPI AG

Professor Shamsuddin Shahid , Dr Ahmed Elshafie
Reservoir Operation by a New Evolutionary Algorithm: Kidney Algorithm

Article • Water Resources Management, August 2018, Springer Science + Business Media

Dr Ahmed Elshafie
BTPC-Based DES-Functionalized CNTs for As3+ Removal from Water: NARX Neural Network Approach

Article • Journal of Environmental Engineering, August 2018, American Society of Civil Engineers (ASCE)

Dr Ahmed Elshafie
Wavelet-ANN versus ANN-Based Model for Hydrometeorological Drought Forecasting

Article • Water, July 2018, MDPI AG

Dr Ahmed Elshafie
Arsenic removal from water using N,N-diethylethanolammonium chloride based DES-functionalized CNTs: (NARX) neural network approach

Article • Journal of Water Supply Research and Technology—AQUA, July 2018, IWA Publishing

Dr Ahmed Elshafie
Optimization of Reservoir Operation using New Hybrid Algorithm

Article • KSCE Journal of Civil Engineering, July 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Bat algorithm for dam–reservoir operation

Article • Environmental Earth Sciences, July 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Comparative study on using static and dynamic finite element models to develop FWD measurement on flexible pavement structures

Article • Construction and Building Materials, July 2018, Elsevier

Dr Ahmed Elshafie
Nose-Angle Bridge Piers as Alternative Countermeasures for Local Scour Reduction

Article • The Baltic Journal of Road and Bridge Engineering, June 2018, Riga Technical University

Dr Ahmed Elshafie
Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm

Article • Water, June 2018, MDPI AG

Professor Shamsuddin Shahid , Dr Ahmed Elshafie
Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales

Article • Water Resources Management, June 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System

Article • Water Resources Management, May 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Operating a reservoir system based on the shark machine learning algorithm

Article • Environmental Earth Sciences, May 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks

Article • Urban Water Journal, April 2018, Taylor & Francis

Assoc. Prof. Ir. Dr. Charles H.J. Bong, Dr Ahmed Elshafie
Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models

Article • Environmental Science and Pollution Research, April 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Optimization of energy management and conversion in the water systems based on evolutionary algorithms

Article • Neural Computing and Applications, March 2018, Springer Science + Business Media

Dr Ahmed Elshafie
The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River

Article • Environmental Earth Sciences, February 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia

Article • Environmental Science and Pollution Research, February 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Reservoir operation based on evolutionary algorithms and multi-criteria decision-making under climate change and uncertainty

Article • Journal of Hydroinformatics, February 2018, IWA Publishing

Dr Ahmed Elshafie
Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons

Article • Water Resources Management, January 2018, Springer Science + Business Media

Dr Ahmed Elshafie
Hybrid ANFIS-Firefly model for streamflow forecasting

Article • Journal of Hydrology, November 2017, Elsevier

Dr ALI DANANDEH MEHR, Dr Ahmed Elshafie
Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region

Article • Theoretical and Applied Climatology, October 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Harmonize input selection for sediment transport prediction

Article • Journal of Hydrology, September 2017, Elsevier

Dr Behrooz Keshtegar, Dr Ahmed Elshafie
Robust approach for optimal positioning and ranking potential rainwater harvesting structure (RWH): a case study of Iraq

Article • Arabian Journal of Geosciences, September 2017, Springer Science + Business Media

Dr Ahmed Elshafie
The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach

Article • Water Science & Technology Water Supply, July 2017, IWA Publishing

Mohamed AlOmar, Professor/PhD Ako Rashed Hama, Dr Ahmed Elshafie
Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization

Article • Engineering With Computers, July 2017, Springer Science + Business Media

Dr Behrooz Keshtegar, Dr Ahmed Elshafie
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River

Article • Environmental Earth Sciences, July 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Optimization of area–volume–elevation curve using GIS–SRTM method for rainwater harvesting in arid areas

Article • Environmental Earth Sciences, May 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Optimization of Chain-Reservoirs’ Operation with a New Approach in Artificial Intelligence

Article • Water Resources Management, April 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm

Article • Advanced Engineering Informatics, April 2017, Elsevier

Professor Ozgur Kisi, Dr Ahmed Elshafie
Optimizing dam and reservoirs operation based model utilizing shark algorithm approach

Article • Knowledge-Based Systems, April 2017, Elsevier

Dr Ahmed Elshafie
Ensuring water security by utilizing roof-harvested rainwater and lake water treated with a low-cost integrated adsorption-filtration system

Article • Water Science and Engineering, April 2017, Elsevier

Dr Ahmed Elshafie
Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art

Article • Environmental Science and Pollution Research, March 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Optimisation of Multiple Hydropower Reservoir Operation Using Artificial Bee Colony Algorithm

Article • Water Resources Management, February 2017, Springer Science + Business Media

Dr Ahmed Elshafie
An evaluation of existent methods for estimation of embankment dam breach parameters

Article • Natural Hazards, February 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Development of a Spatial Hydrologic Soil Map Using Spectral Reflectance Band Recognition and a Multiple-Output Artificial Neural Network Model

Article • January 2017, Copernicus GmbH

Dr Ahmed Elshafie
Uncertainty Estimation in Flood Inundation Mapping: An Application of Non-parametric Bootstrapping

Article • River Research and Applications, January 2017, Wiley

Professor Juneseok Lee, Dr Ahmed Elshafie
Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment

Article • Neural Computing and Applications, January 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art

Article • Natural Hazards, January 2017, Springer Science + Business Media

Dr Ahmed Elshafie
Prediction of Stream Flow in Humid Tropical Rivers by Support Vector Machines

Article • MATEC Web of Conferences, January 2017, EDP Sciences

Dr Ahmed Elshafie
The modelling of arsenic removal from water by deep eutectic solvents functionalized CNTs: Artificial neural network (ANN) approach

Article • January 2017, Desalination Publications

Mohamed AlOmar, Dr Ahmed Elshafie
System performances analysis of reservoir optimization–simulation model in application of artificial bee colony algorithm

Article • Neural Computing and Applications, December 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Non-tuned machine learning approach for hydrological time series forecasting

Article • Neural Computing and Applications, December 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Performance Enhancement of Rainfall Pattern – Water Level Prediction Model Utilizing Self-Organizing-Map Clustering Method

Article • Water Resources Management, December 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach

Article • Water Resources Management, November 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

Article • Journal of Hydrology, November 2016, Elsevier

Dr Ozgur Kisi, Professor Ozgur Kisi, Dr Ahmed Elshafie
RBFNN Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers

Article • Water Resources Management, October 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction

Article • Journal of Hydrology, October 2016, Elsevier

Dr Ahmed Elshafie
Reply to Reviewer #1

Article • September 2016, Copernicus GmbH

Dr Ahmed Elshafie
The development of automated spatial and temporal measurement system for lab-scale local scour

Article • August 2016, Taylor & Francis

Dr Ahmed Elshafie
Acclimatizing Fast Orthogonal Search (FOS) Model for River Stream-flow Forecasting

Article • August 2016, Copernicus GmbH

Dr Ahmed Elshafie
Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir

Article • Water Resources Management, July 2016, Springer Science + Business Media

Dr Ahmed Elshafie
RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)

Article • Neural Computing and Applications, July 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Optimized River Stream-Flow Forecasting Model Utilizing High-Order Response Surface Method

Article • Water Resources Management, June 2016, Springer Science + Business Media

Dr Behrooz Keshtegar, Dr Ahmed Elshafie
Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia

Article • Neural Computing and Applications, June 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Application of a rainfall-runoff model for regional-scale flood inundation mapping for the Langat River Basin

Article • Water Practice & Technology, June 2016, IWA Publishing

Professor Juneseok Lee, Dr Ahmed Elshafie
Estimation the Physical Variables of Rainwater Harvesting System Using Integrated GIS-Based Remote Sensing Approach

Article • Water Resources Management, May 2016, Springer Science + Business Media

Dr Ahmed Elshafie
The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization

Article • Water Resources Management, March 2016, Springer Science + Business Media

Dr Ahmed Elshafie
Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review

Article • Theoretical and Applied Climatology, February 2016, Springer Science + Business Media

Dr Ahmed Elshafie
RBFNN-based model for heavy metal prediction for different climatic and pollution conditions

Article • Neural Computing and Applications, January 2016, Springer Science + Business Media

Dr Ahmed Elshafie
OPTIMAL TIMAH TASOH RESERVOIR IN, PERLIS: AN OPERATION USING THE GRAVITATIONAL SEARCH ALGORITHM (GSA)

Article • Jurnal Teknologi (Sciences & Engineering), December 2015, Penerbit UTM Press

Dr Ahmed Elshafie
Artificial intelligence based models for stream-flow forecasting: 2000–2015

Article • Journal of Hydrology, November 2015, Elsevier

Dr Ahmed Elshafie
Ultrasonic Surface Wave Monitoring for Steel Fibre-Reinforced Concrete Using Gel-Coupled Piezoceramic Sensors: A Case Study

Article • Arabian Journal for Science and Engineering, October 2015, Springer Science + Business Media

Dr Ahmed Elshafie
Structural Health monitoring of Buildings and Bridges

Article • Structural Control and Health Monitoring, September 2015, Wiley

Dr Shahrizan Baharom, Mr Nadom Khalifa Mutlib, Dr Ahmed Elshafie
RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia

Article • Neural Computing and Applications, June 2015, Springer Science + Business Media

Dr Ahmed Elshafie
Uncertainty analysis for extreme flood events in a semi-arid region

Article • Natural Hazards, June 2015, Springer Science + Business Media

Professor Juneseok Lee, Dr Ahmed Elshafie
Application of intelligent optimization techniques and investigating the effect of reservoir size in calibrating the reservoir operating policy

Article • Water Policy, April 2015, IWA Publishing

Dr Ahmed Elshafie
Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: a review

Article • Stochastic Hydrology and Hydraulics, February 2015, Springer Science + Business Media

Dr Ahmed Elshafie
Augmentation of an artificial neural network and modified stochastic dynamic programing model for optimal release policy

Article • Hydrology Research, January 2015, IWA Publishing

Dr Ahmed Elshafie
Integrated approach to financial assessment of water supply and distribution systems to estimate future development costs in urban regions

Article • International Journal of Water, January 2015, Inderscience Publishers

Dr Ahmed Elshafie
State-of-the-Art for Modelling Reservoir Inflows and Management Optimization

Article • Water Resources Management, November 2014, Springer Science + Business Media

Dr Ahmed Elshafie
ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

Article • Water Resources Management, November 2014, Springer Science + Business Media

Dr Ahmed Elshafie
Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy

Article • Neural Computing and Applications, July 2014, Springer Science + Business Media

Dr Celso A. G. Santos, Dr Ahmed Elshafie
Comment on &quot;A hybrid model of self organizing maps and least square support vector machine for river flow forecasting&quot; by Ismail et al. (2012)

Article • Hydrology and Earth System Sciences, July 2014, Copernicus GmbH

Dr Ahmed Elshafie
Reservoir Optimization in Water Resources: a Review

Article • Water Resources Management, June 2014, Springer Science + Business Media

Dr Ahmed Elshafie
New Approach: Integrated Risk-Stochastic Dynamic Model for Dam and Reservoir Optimization

Article • Water Resources Management, May 2014, Springer Science + Business Media

Dr Ahmed Elshafie
Corrigendum: Dynamic versus static artificial neural network model for masonry creep deformation

Article • Proceedings of the Institution of Civil Engineers - Structures and Buildings, March 2014, ICE Publishing

Dr Ahmed Elshafie
Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure

Article • Water Resources Management, January 2014, Springer Science + Business Media

Dr Ahmed Elshafie
Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach

Article • The Scientific World JOURNAL, January 2014, Wiley

Dr Ahmed Elshafie
Characteristics of Low Reynolds Number Shear-Free Turbulence at an Impermeable Base

Article • The Scientific World JOURNAL, January 2014, Hindawi Publishing Corporation

Dr Ahmed Elshafie
Measurements of the Stiffness and Thickness of the Pavement Asphalt Layer Using the Enhanced Resonance Search Method

Article • The Scientific World JOURNAL, January 2014, Hindawi Publishing Corporation

Dr Ahmed Elshafie
A GIS-ANN-Based Approach for Enhancing the Effect of Slope in the Modified Green-Ampt Model

Article • Water Resources Management, December 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Optimal Operation of Klang Gate Dam Using Genetic Algorithm

Article • Jurnal Teknologi (Sciences & Engineering), November 2013, Penerbit UTM Press

Dr Ahmed Elshafie
Ramalan Cirian Reologi Campuran Berasfalt Menggunakan Rangkaian Saraf Tiruan

Article • Jurnal Teknologi (Sciences & Engineering), October 2013, Penerbit UTM Press

Dr Ahmed Elshafie
Dielectric and hardness measurements of planetary analog rocks in support of in-situ subsurface sampling

Article • Planetary and Space Science, September 2013, Elsevier

Dr Ahmed Elshafie
Quantifying uncertainties associated with depth duration frequency curves

Article • Natural Hazards, August 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring

Article • Environmental Science and Pollution Research, August 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using generalized likelihood uncertainty estimation (GLUE) method

Article • Journal of Water Supply Research and Technology—AQUA, August 2013, IWA Publishing

Dr Ahmed Elshafie
Erratum to: Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)

Article • Water Resources Management, August 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Dynamic versus static artificial neural network model for masonry creep deformation

Article • Proceedings of the Institution of Civil Engineers - Structures and Buildings, July 2013, ICE Publishing

Dr Ahmed Elshafie
Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)

Article • Water Resources Management, June 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Amplified wavelet-ANFIS-based model for GPS/INS integration to enhance vehicular navigation system

Article • Neural Computing and Applications, June 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Integrated Artificial Neural Network (ANN) and Stochastic Dynamic Programming (SDP) Model for Optimal Release Policy

Article • Water Resources Management, June 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Improving Rainfall Forecasting Efficiency Using Modified Adaptive Neuro-Fuzzy Inference System (MANFIS)

Article • Water Resources Management, May 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Intelligent Systems in Optimizing Reservoir Operation Policy: A Review

Article • Water Resources Management, April 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Forecasting the Level of Reservoirs Using Multiple Input Fuzzification in ANFIS

Article • Water Resources Management, April 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Application of artificial bee colony (ABC) algorithm in search of optimal release of Aswan High Dam

Article • Journal of Physics Conference Series, April 2013, Institute of Physics Publishing

Dr Ahmed Elshafie
Desalination of Brackish Water Using Nanofiltration: Performance Comparison of Different Membranes

Article • Arabian Journal for Science and Engineering, April 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Evolutionary techniques versus swarm intelligences: application in reservoir release optimization

Article • Neural Computing and Applications, April 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Erratum to: Neural network nonlinear modeling for hydrogen production using anaerobic fermentation

Article • Neural Computing and Applications, March 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Reservoir-system simulation and optimization techniques

Article • Stochastic Hydrology and Hydraulics, March 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Evaluation of methane generation rate and potential from selected landfills in Malaysia

Article • International Journal of Environmental Science and Technology, February 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Performance analysis of artificial bee colony (ABC) algorithm in optimizing release policy of Aswan High Dam

Article • Neural Computing and Applications, February 2013, Springer Science + Business Media

Dr Ahmed Elshafie
Stability assessment of earth slope using modified particle swarm optimization

Article • Journal of the Chinese Institute of Engineers, January 2013, Taylor & Francis

Dr Ahmed Elshafie
Multi-lead ahead prediction model of reference evapotranspiration utilizing ANN with ensemble procedure

Article • Stochastic Hydrology and Hydraulics, December 2012, Springer Science + Business Media

Dr Ahmed Elshafie
A modified gravitational search algorithm for slope stability analysis

Article • Engineering Applications of Artificial Intelligence, December 2012, Elsevier

Dr Ahmed Elshafie
Methane and carbon dioxide emissions from Sungai Sedu open dumping during wet season in Malaysia

Article • Ecological Engineering, December 2012, Elsevier

Dr Ahmed Elshafie
Neural network nonlinear modeling for hydrogen production using anaerobic fermentation

Article • Neural Computing and Applications, November 2012, Springer Science + Business Media

Dr Ahmed Elshafie
Empirical gas emission and oxidation measurement at cover soil of dumping site: example from Malaysia

Article • Environmental Monitoring and Assessment, October 2012, Springer Science + Business Media

Dr Ahmed Elshafie
Tidal current turbines glance at the past and look into future prospects in Malaysia

Article • Renewable and Sustainable Energy Reviews, October 2012, Elsevier

Dr Ahmed Elshafie
Accuracy Enhancement of Inertial Sensors Utilizing High Resolution Spectral Analysis

Article • Sensors, August 2012, MDPI AG

Dr Ahmed Elshafie
Radial basis function neural networks for reliably forecasting rainfall

Article • Journal of Water and Climate Change, June 2012, IWA Publishing

Dr Ahmed Elshafie
Nanofiltration membrane modification by UV grafting for salt rejection and fouling resistance improvement for brackish water desalination

Article • Desalination, June 2012, Elsevier

Dr Ahmed Elshafie
An all-digital DLL using novel harmonic-free and multi-bit SAR techniques

Article • Microelectronics Journal, June 2012, Elsevier

Dr Ahmed Elshafie
Application of artificial neural networks for water quality prediction

Article • Neural Computing and Applications, April 2012, Springer Science + Business Media

Dr Ahmed Elshafie
Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia

Article • Hydrology and Earth System Sciences, April 2012, Copernicus GmbH

Dr Ahmed Elshafie
Review of rehabilitation strategies for water distribution pipes

Article • Journal of Water Supply Research and Technology—AQUA, February 2012, IWA Publishing

Dr Ahmed Elshafie
Adaptive neuro-fuzzy inference system–based model for elevation–surface area–storage interrelationships

Article • Neural Computing and Applications, December 2011, Springer Science + Business Media

Dr Ahmed Elshafie
Analysis of hydrological processes of Langat River sub basins at Lui and Dengkil

Article • International Journal of the Physical Sciences, December 2011, Academic Journals

Dr Ahmed Elshafie
Daily water level forecasting using adaptive neuro-fuzzy interface system with different scenarios: Klang Gate, Malaysia

Article • International Journal of the Physical Sciences, December 2011, Academic Journals

Dr Ahmed Elshafie
Reliability analysis of earth slopes using hybrid chaotic particle swarm optimization

Article • Journal of Central South University, October 2011, Springer Science + Business Media

Dr Ahmed Elshafie
Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring (SHM)

Article • Structural and Multidisciplinary Optimization, September 2011, Springer Science + Business Media

Dr Ahmed Elshafie
Monitoring and control of a partially packed biological aerated filter (BAF) reactor for improving nitrogen removal efficiency

Article • Journal of Water Reuse and Desalination, September 2011, IWA Publishing

Dr Ahmed Elshafie
Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations

Article • Hydrology and Earth System Sciences, August 2011, Copernicus GmbH

Dr Ahmed Elshafie
Adaptive Neural Network Modelling in Fatigue life Prediction under Load History effects

Article • Advanced Materials Research, July 2011, Trans Tech Publications

Dr Ahmed Elshafie
Modified particle swarm optimization for optimum design of spread footing and retaining wall

Article • Journal of Zhejiang University SCIENCE A, June 2011, Journal of Zhejiang University SCIENCE

Dr Ahmed Elshafie
Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network

Article • Water Resources Management, May 2011, Springer Science + Business Media

Dr Ahmed Elshafie
Review on Statistical Based Methods of Measuring the Water Pipes Reliability

Article • Advanced Materials Research, May 2011, Trans Tech Publications

Dr Ahmed Elshafie
Prediction of fatigue crack growth rate using rule-based systems

Article • April 2011, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam

Article • Hydrology and Earth System Sciences, March 2011, Copernicus GmbH

Dr Ahmed Elshafie
Nitrogen-removal efficiency in an upflow partially packed biological aerated filter (BAF) without backwashing process

Article • Journal of Water Reuse and Desalination, March 2011, IWA Publishing

Dr Ahmed Elshafie
Application of Artificial Neural networks in modeling water networks

Article • March 2011, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Regularized versus non-regularized neural network model for prediction of saturated soil-water content on weathered granite soil formation

Article • Neural Computing and Applications, February 2011, Springer Science + Business Media

Dr Ahmed Elshafie
An integrated neural network stochastic dynamic programming model for optimizing the operation policy of Aswan High Dam

Article • Hydrology Research, February 2011, IWA Publishing

Dr Ahmed Elshafie
GPS/INS integration utilizing dynamic neural networks for vehicular navigation

Article • Information Fusion, January 2011, Elsevier

Dr Ahmed Elshafie
CUSPARC IP processor: Design, characterization and applications

Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
A novel N-bit SAR implementation for All-Digital DLL circuits

Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation

Article • Neural Computing and Applications, November 2010, Springer Science + Business Media

Dr Ahmed Elshafie
Regional landfills methane emission inventory in Malaysia

Article • Waste Management & Research The Journal for a Sustainable Circular Economy, September 2010, SAGE Publications

Dr Ahmed Elshafie
Application of artificial neural network in estimating monthly time series reference evapotranspiration with minimum and maximum temperatures

Article • Paddy and Water Environment, September 2010, Springer Science + Business Media

Dr Ahmed Elshafie
Applications of the Box-Wilson Design Model for Bio-hydrogen Production using Clostridium saccharoperbutylacetonicum N1-4 (ATCC 13564)

Article • Pakistan Journal of Biological Sciences, July 2010, Science Alert

Dr Ahmed Elshafie
Creep Predicting Model in Masonry Structure Utilizing Dynamic Neural Network

Article • Journal of Computer Science, May 2010, Science Publications

Dr Ahmed Elshafie
Performance evaluation of a non-linear error model for underwater range computation utilizing GPS sonobuoys

Article • Neural Computing and Applications, February 2010, Springer Science + Business Media

Dr Ahmed Elshafie
Fast orthogonal search approach for distance protection of transmission lines

Article • Electric Power Systems Research, February 2010, Elsevier

Dr Ahmed Elshafie
Neural network modeling of time-dependent creep deformations in masonry structures

Article • Neural Computing and Applications, November 2009, Springer Science + Business Media

Dr Ahmed Elshafie
Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications

Article • IEEE Transactions on Vehicular Technology, March 2009, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Performance Enhancement of Underwater Target Tracking by Fusing Data of Array of Global Positioning System Sonobuoys

Article • Journal of Computer Science, March 2009, Science Publications

Dr Ahmed Elshafie
ANFIS-Based Model for Real-time INS/GPS Data Fusion for Vehicular Navigation System

Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Adaptive-Neuro Fuzzy Inference System for Human Posture Classification Using a Simplified Shock Graph

Article • January 2009, Springer Science + Business Media

Dr Ahmed Elshafie
Application of Neural Network for Scour and Air Entrainment Prediction

Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Enhancing Inflow Forecasting Model at Aswan High Dam Utilizing Radial Basis Neural Network and Upstream Monitoring Stations Measurements

Article • Water Resources Management, December 2008, Springer Science + Business Media

Dr Ahmed Elshafie
Neural Network Model for Nile River Inflow Forecasting Based on Correlation Analysis of Historical Inflow Data

Article • Journal of Applied Sciences, December 2008, Science Alert

Dr Ahmed Elshafie
Optimizing neuro-fuzzy modules for data fusion of vehicular navigation systems using temporal cross-validation

Article • Engineering Applications of Artificial Intelligence, February 2007, Elsevier

Dr Ahmed Elshafie
An Augmented Wavelet - Neuro-Fuzzy Module for Enhancing MEMS based Navigation Systems

Article • January 2007, Institute of Electrical & Electronics Engineers (IEEE)

Dr Ahmed Elshafie
Adaptive neuro-fuzzy module for inertial navigation system/global positioning system integration utilising position and velocity updates with real-time cross-validation

Article • IET Radar Sonar & Navigation, January 2007, the Institution of Engineering and Technology (the IET)

Dr Ahmed Elshafie
A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam

Article • Water Resources Management, June 2006, Springer Science + Business Media

Dr Ahmed Elshafie

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