All Stories

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. Artificial Intelligence -Driven Insights into Bisphenol A Removal Using Synthesized Carbon Nanotubes

    Article • Microporous and Mesoporous Materials, November 2024, Elsevier

    Dr Ahmed Elshafie

  12. 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

  13. Improving sea level prediction in coastal areas using machine learning techniques

    Article • Ain Shams Engineering Journal, September 2024, Elsevier

    Dr Ahmed Elshafie

  14. Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives

    Article • Construction and Building Materials, September 2024, Elsevier

    Dr Ahmed Elshafie

  15. 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

  16. Development and Characterization of Basalt Fiber-Reinforced Green Concrete Utilizing Coconut Shell Aggregates

    Article • Sustainability, August 2024, MDPI AG

    Dr Ahmed Elshafie

  17. 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

  18. 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

  19. 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

  20. Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms

    Article • Materials Today Communications, August 2024, Elsevier

    Dr Ahmed Elshafie

  21. 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

  22. 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

  23. 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

  24. Groundwater quality parameters prediction based on data-driven models

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

    Dr Ahmed Elshafie

  25. 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

  26. Machine learning predictions for carbon monoxide levels in urban environments

    Article • Results in Engineering, June 2024, Elsevier

    Prof Dr Christian Sonne, Dr Ahmed Elshafie

  27. 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

  28. 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

  29. 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

  30. A novel experimental method for measuring the direct tensile strength of concrete

    Article • Materials Testing, March 2024, De Gruyter

    Dr Ahmed Elshafie

  31. 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

  32. Groundwater level forecasting with machine learning models: A review

    Article • Water Research, March 2024, Elsevier

    Dr Ahmed Elshafie

  33. An advanced deep learning model for predicting water quality index

    Article • Ecological Indicators, March 2024, Elsevier

    Dr Ahmed Elshafie

  34. 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

  35. 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

  36. 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

  37. Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms

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

    Dr Ahmed Elshafie

  38. Review of driving-behaviour simulation: VISSIM and artificial intelligence approach

    Article • Heliyon, February 2024, Elsevier

    Dr Ahmed Elshafie

  39. 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

  40. Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system

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

    Dr Ahmed Elshafie

  41. 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

  42. Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting

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

    Dr Ahmed Elshafie

  43. Development and Characterization of Basalt Fiber Reinforced Green Concrete Utilizing Coconut Shell Aggregates

    Article • January 2024, Elsevier

    Dr Ahmed Elshafie

  44. Land Cover Mapping Based on Open-Source Data and Software: Kelantan Area Case Study

    Article • January 2024, Springer Science + Business Media

    Dr Ahmed Elshafie

  45. Rainfall modeling using two different neural networks improved by metaheuristic algorithms

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

    Dr Ahmed Elshafie

  46. Enhancing sediment transport predictions through machine learning-based multi-scenario regression models

    Article • Results in Engineering, December 2023, Elsevier

    Dr Ahmed Elshafie

  47. Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models

    Article • Ain Shams Engineering Journal, December 2023, Elsevier

    Dr Ahmed Elshafie

  48. Application of Machine Learning for Daily Forecasting Dam Water Levels

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

    Dr Ahmed Elshafie

  49. Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches

    Article • Alexandria Engineering Journal, November 2023, Elsevier

    Dr Ahmed Elshafie

  50. 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

  51. Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes

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

    Dr Ahmed Elshafie

  52. 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

  53. 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

  54. 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

  55. Streamflow classification by employing various machine learning models for peninsular Malaysia

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

    Dr Ahmed Elshafie

  56. Predicting sea levels using ML algorithms in selected locations along coastal Malaysia

    Article • Heliyon, September 2023, Elsevier

    Dr Ahmed Elshafie

  57. A Review of Hybrid Deep Learning Applications for Streamflow Forecasting

    Article • Journal of Hydrology, September 2023, Elsevier

    Dr Ahmed Elshafie

  58. 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

  59. 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

  60. Deep learning model on rates of change for multi-step ahead streamflow forecasting

    Article • Journal of Hydroinformatics, August 2023, IWA Publishing

    Dr Ahmed Elshafie

  61. Analysis of urban heat islands with landsat satellite images and GIS in Kuala Lumpur Metropolitan City

    Article • Heliyon, August 2023, Elsevier

    Dr Ahmed Elshafie

  62. 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

  63. Chemically treated silica aerogel for the use in lightweight cementitious composite

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

    Dr Ahmed Elshafie

  64. Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia

    Article • Heliyon, July 2023, Elsevier

    Dr Ahmed Elshafie

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

  72. Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting

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

    Dr Ahmed Elshafie

  73. Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

    Article • Ain Shams Engineering Journal, April 2023, Elsevier

    Dr Ahmed Elshafie

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. Application of Machine Learning in Wave Overtopping – a Review and Perspective

    Article • January 2023, Elsevier

    Dr Ahmed Elshafie

  81. 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

  82. Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms

    Article • December 2022, Research Square

    Dr Ahmed Elshafie

  83. 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

  84. Three Steps towards Better Forecasting for Streamflow Deep Learning

    Article • Applied Sciences, December 2022, MDPI AG

    Dr Ahmed Elshafie

  85. 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

  86. 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

  87. 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

  88. Investigating dam reservoir operation optimization using metaheuristic algorithms

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

    Dr Ahmed Elshafie

  89. 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

  90. Conceptual Sim-Heuristic optimization algorithm to evaluate the climate impact on reservoir operations

    Article • Journal of Hydrology, November 2022, Elsevier

    Dr Ahmed Elshafie

  91. 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

  92. 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

  93. Evaluation of weather-productivity models of construction labour for tropics

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

    Dr Ahmed Elshafie

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. Optimal operation of hydropower reservoirs under climate change

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

    Dr Ahmed Elshafie

  102. 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

  103. 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

  104. 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

  105. 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

  106. Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction

    Article • Alexandria Engineering Journal, June 2022, Elsevier

    Dr Ahmed Elshafie

  107. 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

  108. 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

  109. 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

  110. 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

  111. 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

  112. 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

  113. 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

  114. 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

  115. 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

  116. Application of Soft Computing in Predicting Groundwater Quality Parameters

    Article • Frontiers in Environmental Science, February 2022, Frontiers

    Dr Ahmed Elshafie

  117. 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

  118. 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

  119. Rainfall Variability Index (RVI) analysis of dry spells in Malaysia

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

    Dr Ahmed Elshafie

  120. 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

  121. 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

  122. Spatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transform

    Article • Journal of Hydrology, February 2022, Elsevier

    Dr Ahmed Elshafie

  123. 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

  124. 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

  125. 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

  126. Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation

    Article • Frontiers in Environmental Science, January 2022, Frontiers

    Dr Ahmed Elshafie

  127. 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

  128. 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

  129. 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

  130. Total iron removal from aqueous solution by using modified clinoptilolite

    Article • Ain Shams Engineering Journal, January 2022, Elsevier

    Amir hossein Salimi, Dr Ahmed Elshafie

  131. A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

    Article • Alexandria Engineering Journal, January 2022, Elsevier

    Dr Ahmed Elshafie

  132. 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

  133. Forecasting of Reservoir Inflow Using Machine Learning—Case Study: Klang Gate Dam Reservoir

    Article • December 2021, Springer Science + Business Media

    Dr Ahmed Elshafie

  134. An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery

    Article • Ain Shams Engineering Journal, December 2021, Elsevier

    Dr Ahmed Elshafie

  135. Predicting freshwater production in seawater greenhouses using hybrid artificial neural network models

    Article • Journal of Cleaner Production, December 2021, Elsevier

    Dr Ahmed Elshafie

  136. 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

  137. 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

  138. 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

  139. 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

  140. 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

  141. 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

  142. 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

  143. Torsional Crack Localization in Palm Oil Clinker Concrete Using Acoustic Emission Method

    Article • Materials, September 2021, MDPI AG

    Dr Ahmed Elshafie

  144. 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

  145. 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

  146. 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

  147. 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

  148. 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

  149. Groundwater quality forecasting modelling using artificial intelligence: A review

    Article • Groundwater for Sustainable Development, August 2021, Elsevier

    Dr Ahmed Elshafie

  150. 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

  151. 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

  152. 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

  153. 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

  154. 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

  155. 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

  156. Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm

    Article • Applied Soft Computing, July 2021, Elsevier

    Dr Ahmed Elshafie

  157. 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

  158. 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

  159. 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

  160. Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

    Article • Ain Shams Engineering Journal, June 2021, Elsevier

    Dr Ahmed Elshafie

  161. Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

    Article • Ain Shams Engineering Journal, June 2021, Elsevier

    Dr Ahmed Elshafie

  162. 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

  163. 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

  164. 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

  165. 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

  166. A new soft computing model for daily streamflow forecasting

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

    Dr Ahmed Elshafie

  167. Towards an Efficient Hardware Implementation of CNN-Based Object Trackers

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

    Dr Ahmed Elshafie

  168. 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

  169. Suspended sediment load prediction using long short-term memory neural network

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

    Dr Ahmed Elshafie

  170. Investigating the application of artificial intelligence for earthquake prediction in Terengganu

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

    Dr Ahmed Elshafie

  171. 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

  172. 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

  173. 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

  174. 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

  175. Reservoir water balance simulation model utilizing machine learning algorithm

    Article • Alexandria Engineering Journal, February 2021, Elsevier

    Dr Ahmed Elshafie, Dr. Ahmed Sefelnasr

  176. 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

  177. 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

  178. 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

  179. 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

  180. 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

  181. 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

  182. 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

  183. Developing reservoir evaporation predictive model for successful dam management

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

    Dr Ahmed Elshafie

  184. 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

  185. Architectural Concrete: Overview

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

    Dr Sujay Raghavendra Naganna, Dr Ahmed Elshafie

  186. 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

  187. Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting

    Article • Journal of Hydrology, November 2020, Elsevier

    Dr Ahmed Elshafie

  188. 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

  189. 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

  190. 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

  191. 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

  192. 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

  193. 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

  194. Fault Detection of Bearing using Support Vector Machine-SVM

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

    Dr Ahmed Elshafie

  195. 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

  196. Estimation of total dissolved solids (TDS) using new hybrid machine learning models

    Article • Journal of Hydrology, August 2020, Elsevier

    Dr Ahmed Elshafie

  197. 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

  198. Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy

    Article • Sustainability, July 2020, MDPI AG

    Dr Ahmed Elshafie

  199. 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

  200. 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

  201. Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow

    Article • Journal of Hydrology, July 2020, Elsevier

    Dr Ahmed Elshafie

  202. 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

  203. 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

  204. 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

  205. 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

  206. 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

  207. 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

  208. 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

  209. Complex Extreme Sea Levels Prediction Analysis: Karachi Coast Case Study

    Article • Entropy, May 2020, MDPI AG

    Dr. Ahmed Sefelnasr, Dr Ahmed Elshafie

  210. Reference Evapotranspiration Modeling Using New Heuristic Methods

    Article • Entropy, May 2020, MDPI AG

    PhD Alban Kuriqi, Professor Ozgur Kisi, Dr Ahmed Elshafie

  211. Advanced machine learning model for better prediction accuracy of soil temperature at different depths

    Article • PLOS One, April 2020, PLOS

    Dr Ahmed Elshafie

  212. 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

  213. Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm

    Article • Water, March 2020, MDPI AG

    Dr Ahmed Elshafie

  214. 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

  215. 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

  216. 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

  217. 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

  218. 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

  219. 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

  220. Crow Algorithm for Irrigation Management: A Case Study

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

    Dr Ahmed Elshafie

  221. 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

  222. 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

  223. 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

  224. 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

  225. 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

  226. 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

  227. 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

  228. Machine learning methods for better water quality prediction

    Article • Journal of Hydrology, November 2019, Elsevier

    Dr Ahmed Elshafie

  229. 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

  230. 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

  231. 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

  232. Prediction of Suspended Sediment Load Using Data-Driven Models

    Article • Water, October 2019, MDPI AG

    Dr Ahmed Elshafie, Professor Ozgur Kisi

  233. 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

  234. 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

  235. 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

  236. 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

  237. Review on heavy metal adsorption processes by carbon nanotubes

    Article • Journal of Cleaner Production, September 2019, Elsevier

    Dr Ahmed Elshafie

  238. 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

  239. 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

  240. Materials Challenges in Reconstruction of Historical Projects: A Case Study of the Old Riwaq Project

    Article • Sustainability, August 2019, MDPI AG

    Dr Ahmed Elshafie

  241. Towards a time and cost effective approach to water quality index class prediction

    Article • Journal of Hydrology, August 2019, Elsevier

    Dr Ahmed Elshafie

  242. 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

  243. 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

  244. Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods

    Article • Water, June 2019, MDPI AG

    Dr Ahmed Elshafie

  245. New Evolutionary Algorithm for Optimizing Hydropower Generation Considering Multireservoir Systems

    Article • Applied Sciences, June 2019, MDPI AG

    Dr Ahmed Elshafie

  246. 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

  247. Fast CNN-Based Object Tracking Using Localization Layers and Deep Features Interpolation

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

    Dr Ahmed Elshafie

  248. 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

  249. 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

  250. 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

  251. 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

  252. 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

  253. Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies

    Article • Sustainability, April 2019, MDPI AG

    Dr Ahmed Elshafie

  254. 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

  255. 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

  256. 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

  257. 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

  258. 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

  259. 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

  260. Lead removal from water using DES functionalized CNTs: ANN modeling approach

    Article • January 2019, Desalination Publications

    Dr Ahmed Elshafie

  261. 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

  262. 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

  263. 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

  264. Novel reservoir system simulation procedure for gap minimization between water supply and demand

    Article • Journal of Cleaner Production, January 2019, Elsevier

    Dr Ahmed Elshafie

  265. 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

  266. Delay Factors in Reconstruction Projects: A Case Study of Mataf Expansion Project

    Article • Sustainability, December 2018, MDPI AG

    Dr Ahmed Elshafie

  267. 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

  268. 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

  269. 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

  270. The state-of-the-art system dynamics application in integrated water resources modeling

    Article • Journal of Environmental Management, December 2018, Elsevier

    Dr Ahmed Elshafie

  271. Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm

    Article • Water, September 2018, MDPI AG

    Dr Ahmed Elshafie

  272. 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

  273. 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

  274. Reservoir Operation by a New Evolutionary Algorithm: Kidney Algorithm

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

    Dr Ahmed Elshafie

  275. 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

  276. Wavelet-ANN versus ANN-Based Model for Hydrometeorological Drought Forecasting

    Article • Water, July 2018, MDPI AG

    Dr Ahmed Elshafie

  277. 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

  278. Optimization of Reservoir Operation using New Hybrid Algorithm

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

    Dr Ahmed Elshafie

  279. Bat algorithm for dam–reservoir operation

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

    Dr Ahmed Elshafie

  280. 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

  281. 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

  282. 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

  283. Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales

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

    Dr Ahmed Elshafie

  284. Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System

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

    Dr Ahmed Elshafie

  285. Operating a reservoir system based on the shark machine learning algorithm

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

    Dr Ahmed Elshafie

  286. 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

  287. 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

  288. 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

  289. 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

  290. 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

  291. 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

  292. 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

  293. Hybrid ANFIS-Firefly model for streamflow forecasting

    Article • Journal of Hydrology, November 2017, Elsevier

    Dr ALI DANANDEH MEHR, Dr Ahmed Elshafie

  294. 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

  295. Harmonize input selection for sediment transport prediction

    Article • Journal of Hydrology, September 2017, Elsevier

    Dr Behrooz Keshtegar, Dr Ahmed Elshafie

  296. 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

  297. 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

  298. 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

  299. 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

  300. 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

  301. 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

  302. 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

  303. Optimizing dam and reservoirs operation based model utilizing shark algorithm approach

    Article • Knowledge-Based Systems, April 2017, Elsevier

    Dr Ahmed Elshafie

  304. 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

  305. 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

  306. Optimisation of Multiple Hydropower Reservoir Operation Using Artificial Bee Colony Algorithm

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

    Dr Ahmed Elshafie

  307. An evaluation of existent methods for estimation of embankment dam breach parameters

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

    Dr Ahmed Elshafie

  308. 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

  309. 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

  310. 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

  311. 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

  312. Prediction of Stream Flow in Humid Tropical Rivers by Support Vector Machines

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

    Dr Ahmed Elshafie

  313. 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

  314. 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

  315. Non-tuned machine learning approach for hydrological time series forecasting

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

    Dr Ahmed Elshafie

  316. 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

  317. 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

  318. 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

  319. 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

  320. 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

  321. Reply to Reviewer #1

    Article • September 2016, Copernicus GmbH

    Dr Ahmed Elshafie

  322. The development of automated spatial and temporal measurement system for lab-scale local scour

    Article • August 2016, Taylor & Francis

    Dr Ahmed Elshafie

  323. Acclimatizing Fast Orthogonal Search (FOS) Model for River Stream-flow Forecasting

    Article • August 2016, Copernicus GmbH

    Dr Ahmed Elshafie

  324. 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

  325. 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

  326. 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

  327. 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

  328. 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

  329. 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

  330. 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

  331. 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

  332. 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

  333. 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

  334. Artificial intelligence based models for stream-flow forecasting: 2000–2015

    Article • Journal of Hydrology, November 2015, Elsevier

    Dr Ahmed Elshafie

  335. 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

  336. 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

  337. 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

  338. 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

  339. 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

  340. 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

  341. 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

  342. 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

  343. State-of-the-Art for Modelling Reservoir Inflows and Management Optimization

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

    Dr Ahmed Elshafie

  344. ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

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

    Dr Ahmed Elshafie

  345. 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

  346. Comment on "A hybrid model of self organizing maps and least square support vector machine for river flow forecasting" by Ismail et al. (2012)

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

    Dr Ahmed Elshafie

  347. Reservoir Optimization in Water Resources: a Review

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

    Dr Ahmed Elshafie

  348. 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

  349. 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

  350. Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure

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

    Dr Ahmed Elshafie

  351. 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

  352. 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

  353. 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

  354. 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

  355. Optimal Operation of Klang Gate Dam Using Genetic Algorithm

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

    Dr Ahmed Elshafie

  356. Ramalan Cirian Reologi Campuran Berasfalt Menggunakan Rangkaian Saraf Tiruan

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

    Dr Ahmed Elshafie

  357. 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

  358. Quantifying uncertainties associated with depth duration frequency curves

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

    Dr Ahmed Elshafie

  359. 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

  360. 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

  361. 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

  362. 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

  363. 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

  364. 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

  365. 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

  366. 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

  367. Intelligent Systems in Optimizing Reservoir Operation Policy: A Review

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

    Dr Ahmed Elshafie

  368. Forecasting the Level of Reservoirs Using Multiple Input Fuzzification in ANFIS

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

    Dr Ahmed Elshafie

  369. 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

  370. 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

  371. Evolutionary techniques versus swarm intelligences: application in reservoir release optimization

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

    Dr Ahmed Elshafie

  372. 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

  373. Reservoir-system simulation and optimization techniques

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

    Dr Ahmed Elshafie

  374. 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

  375. 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

  376. 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

  377. 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

  378. A modified gravitational search algorithm for slope stability analysis

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

    Dr Ahmed Elshafie

  379. Methane and carbon dioxide emissions from Sungai Sedu open dumping during wet season in Malaysia

    Article • Ecological Engineering, December 2012, Elsevier

    Dr Ahmed Elshafie

  380. Neural network nonlinear modeling for hydrogen production using anaerobic fermentation

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

    Dr Ahmed Elshafie

  381. 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

  382. 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

  383. Accuracy Enhancement of Inertial Sensors Utilizing High Resolution Spectral Analysis

    Article • Sensors, August 2012, MDPI AG

    Dr Ahmed Elshafie

  384. Radial basis function neural networks for reliably forecasting rainfall

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

    Dr Ahmed Elshafie

  385. 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

  386. An all-digital DLL using novel harmonic-free and multi-bit SAR techniques

    Article • Microelectronics Journal, June 2012, Elsevier

    Dr Ahmed Elshafie

  387. Application of artificial neural networks for water quality prediction

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

    Dr Ahmed Elshafie

  388. 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

  389. Review of rehabilitation strategies for water distribution pipes

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

    Dr Ahmed Elshafie

  390. 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

  391. 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

  392. 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

  393. 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

  394. 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

  395. 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

  396. 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

  397. Adaptive Neural Network Modelling in Fatigue life Prediction under Load History effects

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

    Dr Ahmed Elshafie

  398. 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

  399. 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

  400. Review on Statistical Based Methods of Measuring the Water Pipes Reliability

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

    Dr Ahmed Elshafie

  401. Prediction of fatigue crack growth rate using rule-based systems

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

    Dr Ahmed Elshafie

  402. 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

  403. 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

  404. Application of Artificial Neural networks in modeling water networks

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

    Dr Ahmed Elshafie

  405. 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

  406. 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

  407. GPS/INS integration utilizing dynamic neural networks for vehicular navigation

    Article • Information Fusion, January 2011, Elsevier

    Dr Ahmed Elshafie

  408. CUSPARC IP processor: Design, characterization and applications

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

    Dr Ahmed Elshafie

  409. A novel N-bit SAR implementation for All-Digital DLL circuits

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

    Dr Ahmed Elshafie

  410. 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

  411. 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

  412. 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

  413. 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

  414. Creep Predicting Model in Masonry Structure Utilizing Dynamic Neural Network

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

    Dr Ahmed Elshafie

  415. 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

  416. Fast orthogonal search approach for distance protection of transmission lines

    Article • Electric Power Systems Research, February 2010, Elsevier

    Dr Ahmed Elshafie

  417. 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

  418. 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

  419. 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

  420. 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

  421. Adaptive-Neuro Fuzzy Inference System for Human Posture Classification Using a Simplified Shock Graph

    Article • January 2009, Springer Science + Business Media

    Dr Ahmed Elshafie

  422. Application of Neural Network for Scour and Air Entrainment Prediction

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

    Dr Ahmed Elshafie

  423. 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

  424. 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

  425. 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

  426. An Augmented Wavelet - Neuro-Fuzzy Module for Enhancing MEMS based Navigation Systems

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

    Dr Ahmed Elshafie

  427. 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

  428. 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