All Stories

  1. Advancing climate change impact assessment on global hydropower systems: Methodologies, models, and recommendations
  2. The urban heat Island effect: A review on predictive approaches using artificial intelligence models
  3. Generative adversarial network-enhanced machine learning models for high-precision prediction of rectangular concrete-filled steel tube strength
  4. Advances in AI-based rainfall forecasting: a comprehensive review of past, present, and future directions with intelligent data fusion and climate change models
  5. Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia
  6. Metaheuristic-based prediction of flexural strength and dual-objective optimization for circular concrete-filled steel tubes
  7. Harnessing satellite precision: flash flood vulnerability mapping in arid wadis
  8. Can Time and Cost Efficiency Be Enhanced for GWQI Prediction Utilizing Machine Learning Modeling?
  9. Artificial Intelligence -Driven Insights into Bisphenol A Removal Using Synthesized Carbon Nanotubes
  10. Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater
  11. Improving sea level prediction in coastal areas using machine learning techniques
  12. Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives
  13. Physical and mechanical properties of pre-treated plant-based lightweight aggregate concretes: A review
  14. Development and Characterization of Basalt Fiber-Reinforced Green Concrete Utilizing Coconut Shell Aggregates
  15. Enhancing hydrological data completeness: A performance evaluation of various machine learning techniques using probabilistic fusion imputer with neural networks for streamflow data reconstruction
  16. Adapting reservoir operations for optimal water management under varying climate and demand scenarios using metaheuristic algorithms
  17. Application of integrated artificial intelligence geographical information system in managing water resources: A review
  18. Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms
  19. Predicting daily wind speed using coupled multi-layer perceptron model with water strider optimization algorithm based on fuzzy reasoning and Gamma test
  20. Geneticizing input selection based advanced neural network model for sediment prediction in different climate zone
  21. Updated review on current approaches and challenges for poly- and perfluoroalkyl substances removal using activated carbon-based adsorbents
  22. Groundwater quality parameters prediction based on data-driven models
  23. Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction
  24. Machine learning predictions for carbon monoxide levels in urban environments
  25. Correction: Smart system for water quality monitoring utilizing long-range-based Internet of Things
  26. Temporal and Spatial Local Scour Profile of Cylindrical Pier in Cohesive Sediment Mixture
  27. Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion
  28. A novel experimental method for measuring the direct tensile strength of concrete
  29. Smart system for water quality monitoring utilizing long-range-based Internet of Things
  30. Groundwater level forecasting with machine learning models: A review
  31. An advanced deep learning model for predicting water quality index
  32. Enhancing reservoir operations with charged system search (CSS) algorithm: Accounting for sediment accumulation and multiple scenarios
  33. Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia
  34. The benefits and perspectives of the palm oil industry in Malaysia
  35. Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
  36. Review of driving-behaviour simulation: VISSIM and artificial intelligence approach
  37. 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]
  38. Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system
  39. An advanced hybrid deep learning model for predicting total dissolved solids and electrical conductivity (EC) in coastal aquifers
  40. Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
  41. Development and Characterization of Basalt Fiber Reinforced Green Concrete Utilizing Coconut Shell Aggregates
  42. Land Cover Mapping Based on Open-Source Data and Software: Kelantan Area Case Study
  43. Rainfall modeling using two different neural networks improved by metaheuristic algorithms
  44. Enhancing sediment transport predictions through machine learning-based multi-scenario regression models
  45. Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models
  46. Application of Machine Learning for Daily Forecasting Dam Water Levels
  47. Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
  48. Prediction of atmospheric carbon monoxide concentration utilizing different machine learning algorithms: A case study in Kuala Lumpur, Malaysia
  49. Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes
  50. Correction: Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia
  51. Solid waste modeling using artificial inelegance tools
  52. Space–time heterogeneity of drought characteristics in Sabah and Sarawak, East Malaysia: implications for developing effective drought monitoring and mitigation strategies
  53. Streamflow classification by employing various machine learning models for peninsular Malaysia
  54. Predicting sea levels using ML algorithms in selected locations along coastal Malaysia
  55. A Review of Hybrid Deep Learning Applications for Streamflow Forecasting
  56. Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia
  57. Monthly rainfall forecasting modelling based on advanced machine learning methods: tropical region as case study
  58. Deep learning model on rates of change for multi-step ahead streamflow forecasting
  59. Analysis of urban heat islands with landsat satellite images and GIS in Kuala Lumpur Metropolitan City
  60. Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study
  61. Chemically treated silica aerogel for the use in lightweight cementitious composite
  62. Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia
  63. Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms
  64. Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications
  65. 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
  66. Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall
  67. Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysia
  68. Predicting Sea Level Rise Using Artificial Intelligence: A Review
  69. Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique
  70. Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
  71. Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
  72. Water budget-salt balance model for calculating net water saving considering different non-conventional water resources in agricultural process
  73. Integrated GIS and multivariate statistical approach for spatial and temporal variability analysis for lake water quality index
  74. Sediment load prediction in Johor river: deep learning versus machine learning models
  75. Separation and attribution of impacts of changes in land use and climate on hydrological processes
  76. Development of inundation maps along East Coast of Peninsular Malaysia due to predicted seaquake from Manila Trench
  77. 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
  78. Application of Machine Learning in Wave Overtopping – a Review and Perspective
  79. Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
  80. Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
  81. Integrated nonlinear autoregressive neural network and Holt winters exponential smoothing for river streaming flow forecasting at Aswan High
  82. Three Steps towards Better Forecasting for Streamflow Deep Learning
  83. Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms
  84. River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network
  85. Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process
  86. Investigating dam reservoir operation optimization using metaheuristic algorithms
  87. Utilizing deep learning machine for inflow forecasting in two different environment regions: a case study of a tropical and semi-arid region
  88. Conceptual Sim-Heuristic optimization algorithm to evaluate the climate impact on reservoir operations
  89. Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques
  90. Investigating photovoltaic solar power output forecasting using machine learning algorithms
  91. Evaluation of weather-productivity models of construction labour for tropics
  92. Mechanical and Thermal Properties of Composite Precast Concrete Sandwich Panels: A Review
  93. Enhancement of Satellite Precipitation Estimations with Bias Correction and Data-Merging Schemes for Flood Forecasting
  94. Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches
  95. Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models
  96. Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios
  97. Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source
  98. A scoping review of flash floods in Malaysia: current status and the way forward
  99. Optimal operation of hydropower reservoirs under climate change
  100. An efficient hardware implementation of CNN-based object trackers for real-time applications
  101. Rainfall prediction using multiple inclusive models and large climate indices
  102. Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction
  103. State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting
  104. Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction
  105. A comparison of machine learning models for suspended sediment load classification
  106. An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models
  107. Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates
  108. Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level
  109. Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms
  110. Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
  111. Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan
  112. Using Metaheuristics Algorithms (MHAs) to Optimize Water Supply Operation in Reservoirs: a Review
  113. Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia
  114. Application of Soft Computing in Predicting Groundwater Quality Parameters
  115. A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
  116. Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster
  117. Rainfall Variability Index (RVI) analysis of dry spells in Malaysia
  118. Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
  119. Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques
  120. Spatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transform
  121. Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches
  122. Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts
  123. The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
  124. Inclusive Multiple Model Using Hybrid Artificial Neural Networks for Predicting Evaporation
  125. Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
  126. Multiple imputations by chained equations for recovering missing daily streamflow observations: a case study of Langat River basin in Malaysia
  127. Sediment Incipient Motion in Sewer with a Bed Deposit
  128. Total iron removal from aqueous solution by using modified clinoptilolite
  129. A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
  130. Development of prediction model for phosphate in reservoir water system based machine learning algorithms
  131. Forecasting of Reservoir Inflow Using Machine Learning—Case Study: Klang Gate Dam Reservoir
  132. An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery
  133. Predicting freshwater production in seawater greenhouses using hybrid artificial neural network models
  134. Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging
  135. Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy
  136. Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
  137. A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia
  138. Application of Artificial Intelligence Models for modeling Water Quality in Groundwater: Comprehensive Review, Evaluation and Future Trends
  139. Drought modelling by standard precipitation index (SPI) in a semi-arid climate using deep learning method: long short-term memory
  140. Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
  141. Torsional Crack Localization in Palm Oil Clinker Concrete Using Acoustic Emission Method
  142. Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm
  143. Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components
  144. Development of Crack Width Prediction Models for RC Beam-Column Joint Subjected to Lateral Cyclic Loading Using Machine Learning
  145. The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization
  146. Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia
  147. Groundwater quality forecasting modelling using artificial intelligence: A review
  148. An evaluation of various data pre-processing techniques with machine learning models for water level prediction
  149. A review of models for water level forecasting based on machine learning
  150. Advanced water level prediction for a large-scale river–lake system using hybrid soft computing approach: a case study in Dongting Lake, China
  151. Groundwater level as an input to monthly predicting of water level using various machine learning algorithms
  152. A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
  153. Chemerin As A Non-Invasive Serum Marker for Non-Alcoholic Fatty Liver Disease
  154. Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm
  155. Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq
  156. Evaluation of deep learning algorithm for inflow forecasting: a case study of Durian Tunggal Reservoir, Peninsular Malaysia
  157. Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms
  158. Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia
  159. Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia
  160. Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction
  161. RBFNN versus GRNN modeling approach for sub-surface evaporation rate prediction in arid region
  162. Potential of Epoxidised Natural Rubber Alumina Nanoparticles (ENRAN) sheet as local bridge pier scour countermeasure
  163. Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia
  164. A new soft computing model for daily streamflow forecasting
  165. Towards an Efficient Hardware Implementation of CNN-Based Object Trackers
  166. An Efficient Hardware Implementation of CNN-Based Object Trackers for Real-Time Applications
  167. Suspended sediment load prediction using long short-term memory neural network
  168. Investigating the application of artificial intelligence for earthquake prediction in Terengganu
  169. Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
  170. Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models
  171. Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia
  172. Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review
  173. Reservoir water balance simulation model utilizing machine learning algorithm
  174. Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
  175. Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
  176. Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms
  177. Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
  178. Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms
  179. Ecological Engineering Approach as a Sustainable Solution for Wastewater and Surface Water Issues in Rural Areas of Bario, Sarawak, Malaysia
  180. Hydraulic Modelling Analysis for Road Stormwater Drainage Evaluation under RCPs‎ Based Rainfall Data
  181. Developing reservoir evaporation predictive model for successful dam management
  182. Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
  183. Architectural Concrete: Overview
  184. The Practical Influence of Climate Change on the Performance of Road Stormwater Drainage Infrastructure
  185. Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
  186. Enhancing the performance of data-driven models for monthly reservoir evaporation prediction
  187. Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization
  188. Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data
  189. Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach
  190. Optimised neural network model for river-nitrogen prediction utilizing a new training approach
  191. Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction
  192. Fault Detection of Bearing using Support Vector Machine-SVM
  193. Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm
  194. Estimation of total dissolved solids (TDS) using new hybrid machine learning models
  195. Delay Factors Management and Ranking for Reconstruction and Rehabilitation Projects Based on the Relative Importance Index (RII)
  196. Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy
  197. Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
  198. Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
  199. Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow
  200. Correction to: Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods
  201. Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
  202. Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm
  203. Optimized fuzzy inference system to enhance prediction accuracy for influent characteristics of a sewage treatment plant
  204. Application of non-parametric approaches to identify trend in streamflow during 1976–2007 (Naula watershed)
  205. Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models
  206. Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network
  207. Complex Extreme Sea Levels Prediction Analysis: Karachi Coast Case Study
  208. Reference Evapotranspiration Modeling Using New Heuristic Methods
  209. Advanced machine learning model for better prediction accuracy of soil temperature at different depths
  210. Feedforward Artificial Neural Network-Based Model for Predicting the Removal of Phenolic Compounds from Water by Using Deep Eutectic Solvent-Functionalized CNTs
  211. Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm
  212. Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting
  213. Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
  214. Artificial Neural Network (ANN) model development for predicting just suspension speed in solid-liquid mixing system
  215. Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
  216. Investigating the Influence of Meteorological Parameters on the Accuracy of Sea-Level Prediction Models in Sabah, Malaysia
  217. 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
  218. Crow Algorithm for Irrigation Management: A Case Study
  219. Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model
  220. Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods
  221. Efficient river water quality index prediction considering minimal number of inputs variables
  222. Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
  223. Application of a Coordination Model for a Large Number of Stakeholders with a New Game Theory Model
  224. Precipitation Forecasting Using Multilayer Neural Network and Support Vector Machine Optimization Based on Flow Regime Algorithm Taking into Account Uncertainties of Soft Computing Models
  225. A New Method for Flood Routing Utilizing Four-Parameter Nonlinear Muskingum and Shark Algorithm
  226. Machine learning methods for better water quality prediction
  227. ANFIS-based model for predicting actual shear rate associated with wall slip phenomenon
  228. Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions
  229. ANNs and inflow forecast to aid stochastic optimization of reservoir operation
  230. Prediction of Suspended Sediment Load Using Data-Driven Models
  231. A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
  232. Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model
  233. Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
  234. Toward Bridging Future Irrigation Deficits Utilizing the Shark Algorithm Integrated with a Climate Change Model
  235. Review on heavy metal adsorption processes by carbon nanotubes
  236. Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent
  237. Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms
  238. Materials Challenges in Reconstruction of Historical Projects: A Case Study of the Old Riwaq Project
  239. Towards a time and cost effective approach to water quality index class prediction
  240. Accuracy Enhancement for Zone Mapping of a Solar Radiation Forecasting Based Multi-Objective Model for Better Management of the Generation of Renewable Energy
  241. Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios
  242. Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods
  243. New Evolutionary Algorithm for Optimizing Hydropower Generation Considering Multireservoir Systems
  244. Identification of potential sites for runoff water harvesting
  245. Fast CNN-Based Object Tracking Using Localization Layers and Deep Features Interpolation
  246. An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration
  247. Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction
  248. Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies
  249. Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors
  250. Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach
  251. Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies
  252. A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
  253. Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment
  254. A clean approach for functionalized carbon nanotubes by deep eutectic solvents and their performance in the adsorption of methyl orange from aqueous solution
  255. Rheological wall slip velocity prediction model based on artificial neural network
  256. Efficient forecasting model technique for river stream flow in tropical environment
  257. A Survey on Hardware Implementations of Visual Object Trackers
  258. Lead removal from water using DES functionalized CNTs: ANN modeling approach
  259. Evaluation of bias-adjusted satellite precipitation estimations for extreme flood events in Langat river basin, Malaysia
  260. A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
  261. Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
  262. Novel reservoir system simulation procedure for gap minimization between water supply and demand
  263. Sensitivity analysis of artificial neural networks for just-suspension speed prediction in solid-liquid mixing systems: Performance comparison of MLPNN and RBFNN
  264. Delay Factors in Reconstruction Projects: A Case Study of Mataf Expansion Project
  265. New approach to mimic rheological actual shear rate under wall slip condition
  266. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill
  267. New approach for developing soft computational prediction models for moment and rotation of boltless steel connections
  268. The state-of-the-art system dynamics application in integrated water resources modeling
  269. Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm
  270. Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm
  271. The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration
  272. Reservoir Operation by a New Evolutionary Algorithm: Kidney Algorithm
  273. BTPC-Based DES-Functionalized CNTs for As3+ Removal from Water: NARX Neural Network Approach
  274. Wavelet-ANN versus ANN-Based Model for Hydrometeorological Drought Forecasting
  275. Arsenic removal from water using N,N-diethylethanolammonium chloride based DES-functionalized CNTs: (NARX) neural network approach
  276. Optimization of Reservoir Operation using New Hybrid Algorithm
  277. Bat algorithm for dam–reservoir operation
  278. Comparative study on using static and dynamic finite element models to develop FWD measurement on flexible pavement structures
  279. Nose-Angle Bridge Piers as Alternative Countermeasures for Local Scour Reduction
  280. Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm
  281. Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales
  282. Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System
  283. Operating a reservoir system based on the shark machine learning algorithm
  284. Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks
  285. Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models
  286. Optimization of energy management and conversion in the water systems based on evolutionary algorithms
  287. The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River
  288. Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia
  289. Reservoir operation based on evolutionary algorithms and multi-criteria decision-making under climate change and uncertainty
  290. Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons
  291. Hybrid ANFIS-Firefly model for streamflow forecasting
  292. Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region
  293. Harmonize input selection for sediment transport prediction
  294. Robust approach for optimal positioning and ranking potential rainwater harvesting structure (RWH): a case study of Iraq
  295. The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach
  296. Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization
  297. 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
  298. Optimization of area–volume–elevation curve using GIS–SRTM method for rainwater harvesting in arid areas
  299. Optimization of Chain-Reservoirs’ Operation with a New Approach in Artificial Intelligence
  300. Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm
  301. Optimizing dam and reservoirs operation based model utilizing shark algorithm approach
  302. Ensuring water security by utilizing roof-harvested rainwater and lake water treated with a low-cost integrated adsorption-filtration system
  303. Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art
  304. Optimisation of Multiple Hydropower Reservoir Operation Using Artificial Bee Colony Algorithm
  305. An evaluation of existent methods for estimation of embankment dam breach parameters
  306. Development of a Spatial Hydrologic Soil Map Using Spectral Reflectance Band Recognition and a Multiple-Output Artificial Neural Network Model
  307. Uncertainty Estimation in Flood Inundation Mapping: An Application of Non-parametric Bootstrapping
  308. Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment
  309. Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art
  310. Prediction of Stream Flow in Humid Tropical Rivers by Support Vector Machines
  311. The modelling of arsenic removal from water by deep eutectic solvents functionalized CNTs: Artificial neural network (ANN) approach
  312. System performances analysis of reservoir optimization–simulation model in application of artificial bee colony algorithm
  313. Non-tuned machine learning approach for hydrological time series forecasting
  314. Performance Enhancement of Rainfall Pattern – Water Level Prediction Model Utilizing Self-Organizing-Map Clustering Method
  315. Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach
  316. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
  317. RBFNN Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers
  318. Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
  319. Reply to Reviewer #1
  320. The development of automated spatial and temporal measurement system for lab-scale local scour
  321. Acclimatizing Fast Orthogonal Search (FOS) Model for River Stream-flow Forecasting
  322. Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir
  323. RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)
  324. Optimized River Stream-Flow Forecasting Model Utilizing High-Order Response Surface Method
  325. Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
  326. Application of a rainfall-runoff model for regional-scale flood inundation mapping for the Langat River Basin
  327. Estimation the Physical Variables of Rainwater Harvesting System Using Integrated GIS-Based Remote Sensing Approach
  328. The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization
  329. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
  330. RBFNN-based model for heavy metal prediction for different climatic and pollution conditions
  331. OPTIMAL TIMAH TASOH RESERVOIR IN, PERLIS: AN OPERATION USING THE GRAVITATIONAL SEARCH ALGORITHM (GSA)
  332. Artificial intelligence based models for stream-flow forecasting: 2000–2015
  333. Ultrasonic Surface Wave Monitoring for Steel Fibre-Reinforced Concrete Using Gel-Coupled Piezoceramic Sensors: A Case Study
  334. Structural Health monitoring of Buildings and Bridges
  335. RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia
  336. Uncertainty analysis for extreme flood events in a semi-arid region
  337. Application of intelligent optimization techniques and investigating the effect of reservoir size in calibrating the reservoir operating policy
  338. Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: a review
  339. Augmentation of an artificial neural network and modified stochastic dynamic programing model for optimal release policy
  340. Integrated approach to financial assessment of water supply and distribution systems to estimate future development costs in urban regions
  341. State-of-the-Art for Modelling Reservoir Inflows and Management Optimization
  342. ANN Based Sediment Prediction Model Utilizing Different Input Scenarios
  343. Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy
  344. Comment on "A hybrid model of self organizing maps and least square support vector machine for river flow forecasting" by Ismail et al. (2012)
  345. Reservoir Optimization in Water Resources: a Review
  346. New Approach: Integrated Risk-Stochastic Dynamic Model for Dam and Reservoir Optimization
  347. Corrigendum: Dynamic versus static artificial neural network model for masonry creep deformation
  348. Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure
  349. Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach
  350. Characteristics of Low Reynolds Number Shear-Free Turbulence at an Impermeable Base
  351. Measurements of the Stiffness and Thickness of the Pavement Asphalt Layer Using the Enhanced Resonance Search Method
  352. A GIS-ANN-Based Approach for Enhancing the Effect of Slope in the Modified Green-Ampt Model
  353. Optimal Operation of Klang Gate Dam Using Genetic Algorithm
  354. Ramalan Cirian Reologi Campuran Berasfalt Menggunakan Rangkaian Saraf Tiruan
  355. Dielectric and hardness measurements of planetary analog rocks in support of in-situ subsurface sampling
  356. Quantifying uncertainties associated with depth duration frequency curves
  357. Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring
  358. Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using generalized likelihood uncertainty estimation (GLUE) method
  359. Erratum to: Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
  360. Dynamic versus static artificial neural network model for masonry creep deformation
  361. Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
  362. Amplified wavelet-ANFIS-based model for GPS/INS integration to enhance vehicular navigation system
  363. Integrated Artificial Neural Network (ANN) and Stochastic Dynamic Programming (SDP) Model for Optimal Release Policy
  364. Improving Rainfall Forecasting Efficiency Using Modified Adaptive Neuro-Fuzzy Inference System (MANFIS)
  365. Intelligent Systems in Optimizing Reservoir Operation Policy: A Review
  366. Forecasting the Level of Reservoirs Using Multiple Input Fuzzification in ANFIS
  367. Application of artificial bee colony (ABC) algorithm in search of optimal release of Aswan High Dam
  368. Desalination of Brackish Water Using Nanofiltration: Performance Comparison of Different Membranes
  369. Evolutionary techniques versus swarm intelligences: application in reservoir release optimization
  370. Erratum to: Neural network nonlinear modeling for hydrogen production using anaerobic fermentation
  371. Reservoir-system simulation and optimization techniques
  372. Evaluation of methane generation rate and potential from selected landfills in Malaysia
  373. Performance analysis of artificial bee colony (ABC) algorithm in optimizing release policy of Aswan High Dam
  374. Stability assessment of earth slope using modified particle swarm optimization
  375. Multi-lead ahead prediction model of reference evapotranspiration utilizing ANN with ensemble procedure
  376. A modified gravitational search algorithm for slope stability analysis
  377. Methane and carbon dioxide emissions from Sungai Sedu open dumping during wet season in Malaysia
  378. Neural network nonlinear modeling for hydrogen production using anaerobic fermentation
  379. Empirical gas emission and oxidation measurement at cover soil of dumping site: example from Malaysia
  380. Tidal current turbines glance at the past and look into future prospects in Malaysia
  381. Accuracy Enhancement of Inertial Sensors Utilizing High Resolution Spectral Analysis
  382. Radial basis function neural networks for reliably forecasting rainfall
  383. Nanofiltration membrane modification by UV grafting for salt rejection and fouling resistance improvement for brackish water desalination
  384. An all-digital DLL using novel harmonic-free and multi-bit SAR techniques
  385. Application of artificial neural networks for water quality prediction
  386. Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia
  387. Review of rehabilitation strategies for water distribution pipes
  388. Adaptive neuro-fuzzy inference system–based model for elevation–surface area–storage interrelationships
  389. Analysis of hydrological processes of Langat River sub basins at Lui and Dengkil
  390. Daily water level forecasting using adaptive neuro-fuzzy interface system with different scenarios: Klang Gate, Malaysia
  391. Reliability analysis of earth slopes using hybrid chaotic particle swarm optimization
  392. Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring (SHM)
  393. Monitoring and control of a partially packed biological aerated filter (BAF) reactor for improving nitrogen removal efficiency
  394. Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations
  395. Adaptive Neural Network Modelling in Fatigue life Prediction under Load History effects
  396. Modified particle swarm optimization for optimum design of spread footing and retaining wall
  397. Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network
  398. Review on Statistical Based Methods of Measuring the Water Pipes Reliability
  399. Prediction of fatigue crack growth rate using rule-based systems
  400. Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
  401. Nitrogen-removal efficiency in an upflow partially packed biological aerated filter (BAF) without backwashing process
  402. Application of Artificial Neural networks in modeling water networks
  403. Regularized versus non-regularized neural network model for prediction of saturated soil-water content on weathered granite soil formation
  404. An integrated neural network stochastic dynamic programming model for optimizing the operation policy of Aswan High Dam
  405. GPS/INS integration utilizing dynamic neural networks for vehicular navigation
  406. CUSPARC IP processor: Design, characterization and applications
  407. A novel N-bit SAR implementation for All-Digital DLL circuits
  408. Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation
  409. Regional landfills methane emission inventory in Malaysia
  410. Application of artificial neural network in estimating monthly time series reference evapotranspiration with minimum and maximum temperatures
  411. Applications of the Box-Wilson Design Model for Bio-hydrogen Production using Clostridium saccharoperbutylacetonicum N1-4 (ATCC 13564)
  412. Creep Predicting Model in Masonry Structure Utilizing Dynamic Neural Network
  413. Performance evaluation of a non-linear error model for underwater range computation utilizing GPS sonobuoys
  414. Fast orthogonal search approach for distance protection of transmission lines
  415. Neural network modeling of time-dependent creep deformations in masonry structures
  416. Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications
  417. Performance Enhancement of Underwater Target Tracking by Fusing Data of Array of Global Positioning System Sonobuoys
  418. ANFIS-Based Model for Real-time INS/GPS Data Fusion for Vehicular Navigation System
  419. Adaptive-Neuro Fuzzy Inference System for Human Posture Classification Using a Simplified Shock Graph
  420. Application of Neural Network for Scour and Air Entrainment Prediction
  421. Enhancing Inflow Forecasting Model at Aswan High Dam Utilizing Radial Basis Neural Network and Upstream Monitoring Stations Measurements
  422. Neural Network Model for Nile River Inflow Forecasting Based on Correlation Analysis of Historical Inflow Data
  423. Optimizing neuro-fuzzy modules for data fusion of vehicular navigation systems using temporal cross-validation
  424. An Augmented Wavelet - Neuro-Fuzzy Module for Enhancing MEMS based Navigation Systems
  425. Adaptive neuro-fuzzy module for inertial navigation system/global positioning system integration utilising position and velocity updates with real-time cross-validation
  426. A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam