All Stories

  1. Groundwater level forecasting with machine learning models: A review
  2. Review of driving-behaviour simulation: VISSIM and artificial intelligence approach
  3. Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
  4. Application of Machine Learning for Daily Forecasting Dam Water Levels
  5. Predicting sea levels using ML algorithms in selected locations along coastal Malaysia
  6. A Review of Hybrid Deep Learning Applications for Streamflow Forecasting
  7. Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia
  8. Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study
  9. Investigation of Meta-heuristics Algorithms in ANN Streamflow Forecasting
  10. 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
  11. Three Steps towards Better Forecasting for Streamflow Deep Learning
  12. Utilizing deep learning machine for inflow forecasting in two different environment regions: a case study of a tropical and semi-arid region
  13. Investigating photovoltaic solar power output forecasting using machine learning algorithms
  14. Mechanical and Thermal Properties of Composite Precast Concrete Sandwich Panels: A Review
  15. Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source
  16. A comparison of machine learning models for suspended sediment load classification
  17. Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms
  18. Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
  19. Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques
  20. The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
  21. Sediment Incipient Motion in Sewer with a Bed Deposit
  22. Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy
  23. Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
  24. Torsional Crack Localization in Palm Oil Clinker Concrete Using Acoustic Emission Method
  25. Development of Crack Width Prediction Models for RC Beam-Column Joint Subjected to Lateral Cyclic Loading Using Machine Learning
  26. Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia
  27. An evaluation of various data pre-processing techniques with machine learning models for water level prediction
  28. Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms
  29. Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia
  30. Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia
  31. Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction
  32. RBFNN versus GRNN modeling approach for sub-surface evaporation rate prediction in arid region
  33. Potential of Epoxidised Natural Rubber Alumina Nanoparticles (ENRAN) sheet as local bridge pier scour countermeasure
  34. Optimizing the Operation Release Policy Using Charged System Search Algorithm: A Case Study of Klang Gates Dam, Malaysia
  35. Investigating the application of artificial intelligence for earthquake prediction in Terengganu
  36. Review on wastewater treatment ponds clogging under artificial recharge: Impacting factors and future modelling
  37. Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia
  38. Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review
  39. Reservoir water balance simulation model utilizing machine learning algorithm
  40. Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
  41. Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
  42. Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms
  43. Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
  44. Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms
  45. Ecological Engineering Approach as a Sustainable Solution for Wastewater and Surface Water Issues in Rural Areas of Bario, Sarawak, Malaysia
  46. Hydraulic Modelling Analysis for Road Stormwater Drainage Evaluation under RCPs‎ Based Rainfall Data
  47. Developing reservoir evaporation predictive model for successful dam management
  48. Application of Artificial Neural Network for Forecasting Nitrate Concentration as a Water Quality Parameter: A Case Study of Feitsui Reservoir, Taiwan
  49. Architectural Concrete: Overview
  50. The Practical Influence of Climate Change on the Performance of Road Stormwater Drainage Infrastructure
  51. Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
  52. Enhancing the performance of data-driven models for monthly reservoir evaporation prediction
  53. Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization
  54. Integrated finite element and artificial neural network methods for constructing asphalt concrete dynamic modulus master curve using deflection time-history data
  55. Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach
  56. Optimised neural network model for river-nitrogen prediction utilizing a new training approach
  57. Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction
  58. Fault Detection of Bearing using Support Vector Machine-SVM
  59. Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm
  60. Estimation of total dissolved solids (TDS) using new hybrid machine learning models
  61. Delay Factors Management and Ranking for Reconstruction and Rehabilitation Projects Based on the Relative Importance Index (RII)
  62. Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy
  63. Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
  64. Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
  65. Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow
  66. Correction to: Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods
  67. Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
  68. Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm
  69. Optimized fuzzy inference system to enhance prediction accuracy for influent characteristics of a sewage treatment plant
  70. Application of non-parametric approaches to identify trend in streamflow during 1976–2007 (Naula watershed)
  71. Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models
  72. Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network
  73. Complex Extreme Sea Levels Prediction Analysis: Karachi Coast Case Study
  74. Reference Evapotranspiration Modeling Using New Heuristic Methods
  75. Advanced machine learning model for better prediction accuracy of soil temperature at different depths
  76. Feedforward Artificial Neural Network-Based Model for Predicting the Removal of Phenolic Compounds from Water by Using Deep Eutectic Solvent-Functionalized CNTs
  77. Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm
  78. Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting
  79. Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
  80. Artificial Neural Network (ANN) model development for predicting just suspension speed in solid-liquid mixing system
  81. Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
  82. Investigating the Influence of Meteorological Parameters on the Accuracy of Sea-Level Prediction Models in Sabah, Malaysia
  83. 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
  84. Crow Algorithm for Irrigation Management: A Case Study
  85. Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model
  86. Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods
  87. Efficient river water quality index prediction considering minimal number of inputs variables
  88. Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
  89. Application of a Coordination Model for a Large Number of Stakeholders with a New Game Theory Model
  90. Precipitation Forecasting Using Multilayer Neural Network and Support Vector Machine Optimization Based on Flow Regime Algorithm Taking into Account Uncertainties of Soft Computing Models
  91. A New Method for Flood Routing Utilizing Four-Parameter Nonlinear Muskingum and Shark Algorithm
  92. Machine learning methods for better water quality prediction
  93. ANFIS-based model for predicting actual shear rate associated with wall slip phenomenon
  94. Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions
  95. ANNs and inflow forecast to aid stochastic optimization of reservoir operation
  96. Prediction of Suspended Sediment Load Using Data-Driven Models
  97. A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
  98. Improving Dam and Reservoir Operation Rules Using Stochastic Dynamic Programming and Artificial Neural Network Integration Model
  99. Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
  100. Toward Bridging Future Irrigation Deficits Utilizing the Shark Algorithm Integrated with a Climate Change Model
  101. Review on heavy metal adsorption processes by carbon nanotubes
  102. Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent
  103. Modeling the Nonlinearity of Sea Level Oscillations in the Malaysian Coastal Areas Using Machine Learning Algorithms
  104. Materials Challenges in Reconstruction of Historical Projects: A Case Study of the Old Riwaq Project
  105. Towards a time and cost effective approach to water quality index class prediction
  106. Accuracy Enhancement for Zone Mapping of a Solar Radiation Forecasting Based Multi-Objective Model for Better Management of the Generation of Renewable Energy
  107. Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios
  108. Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods
  109. New Evolutionary Algorithm for Optimizing Hydropower Generation Considering Multireservoir Systems
  110. Identification of potential sites for runoff water harvesting
  111. An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration
  112. Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction
  113. Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies
  114. Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors
  115. Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach
  116. Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies
  117. A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
  118. Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment
  119. A clean approach for functionalized carbon nanotubes by deep eutectic solvents and their performance in the adsorption of methyl orange from aqueous solution
  120. Rheological wall slip velocity prediction model based on artificial neural network
  121. Efficient forecasting model technique for river stream flow in tropical environment
  122. Lead removal from water using DES functionalized CNTs: ANN modeling approach
  123. Evaluation of bias-adjusted satellite precipitation estimations for extreme flood events in Langat river basin, Malaysia
  124. A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
  125. Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
  126. Novel reservoir system simulation procedure for gap minimization between water supply and demand
  127. Sensitivity analysis of artificial neural networks for just-suspension speed prediction in solid-liquid mixing systems: Performance comparison of MLPNN and RBFNN
  128. Delay Factors in Reconstruction Projects: A Case Study of Mataf Expansion Project
  129. New approach to mimic rheological actual shear rate under wall slip condition
  130. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill
  131. New approach for developing soft computational prediction models for moment and rotation of boltless steel connections
  132. The state-of-the-art system dynamics application in integrated water resources modeling
  133. Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm
  134. Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm
  135. The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration
  136. Reservoir Operation by a New Evolutionary Algorithm: Kidney Algorithm
  137. BTPC-Based DES-Functionalized CNTs for As3+ Removal from Water: NARX Neural Network Approach
  138. Wavelet-ANN versus ANN-Based Model for Hydrometeorological Drought Forecasting
  139. Arsenic removal from water using N,N-diethylethanolammonium chloride based DES-functionalized CNTs: (NARX) neural network approach
  140. Optimization of Reservoir Operation using New Hybrid Algorithm
  141. Bat algorithm for dam–reservoir operation
  142. Comparative study on using static and dynamic finite element models to develop FWD measurement on flexible pavement structures
  143. Nose-Angle Bridge Piers as Alternative Countermeasures for Local Scour Reduction
  144. Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm
  145. Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales
  146. Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System
  147. Operating a reservoir system based on the shark machine learning algorithm
  148. Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks
  149. Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models
  150. Optimization of energy management and conversion in the water systems based on evolutionary algorithms
  151. The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River
  152. Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia
  153. Reservoir operation based on evolutionary algorithms and multi-criteria decision-making under climate change and uncertainty
  154. Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons
  155. Hybrid ANFIS-Firefly model for streamflow forecasting
  156. Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region
  157. Harmonize input selection for sediment transport prediction
  158. Robust approach for optimal positioning and ranking potential rainwater harvesting structure (RWH): a case study of Iraq
  159. The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach
  160. Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization
  161. 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
  162. Optimization of area–volume–elevation curve using GIS–SRTM method for rainwater harvesting in arid areas
  163. Optimization of Chain-Reservoirs’ Operation with a New Approach in Artificial Intelligence
  164. Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm
  165. Optimizing dam and reservoirs operation based model utilizing shark algorithm approach
  166. Ensuring water security by utilizing roof-harvested rainwater and lake water treated with a low-cost integrated adsorption-filtration system
  167. Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art
  168. Optimisation of Multiple Hydropower Reservoir Operation Using Artificial Bee Colony Algorithm
  169. An evaluation of existent methods for estimation of embankment dam breach parameters
  170. Development of a Spatial Hydrologic Soil Map Using Spectral Reflectance Band Recognition and a Multiple-Output Artificial Neural Network Model
  171. Uncertainty Estimation in Flood Inundation Mapping: An Application of Non-parametric Bootstrapping
  172. Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment
  173. Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art
  174. Prediction of Stream Flow in Humid Tropical Rivers by Support Vector Machines
  175. The modelling of arsenic removal from water by deep eutectic solvents functionalized CNTs: Artificial neural network (ANN) approach
  176. System performances analysis of reservoir optimization–simulation model in application of artificial bee colony algorithm
  177. Non-tuned machine learning approach for hydrological time series forecasting
  178. Performance Enhancement of Rainfall Pattern – Water Level Prediction Model Utilizing Self-Organizing-Map Clustering Method
  179. Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach
  180. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
  181. RBFNN Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers
  182. Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
  183. Reply to Reviewer #1
  184. The development of automated spatial and temporal measurement system for lab-scale local scour
  185. Acclimatizing Fast Orthogonal Search (FOS) Model for River Stream-flow Forecasting
  186. Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir
  187. RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)
  188. Optimized River Stream-Flow Forecasting Model Utilizing High-Order Response Surface Method
  189. Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
  190. Application of a rainfall-runoff model for regional-scale flood inundation mapping for the Langat River Basin
  191. Estimation the Physical Variables of Rainwater Harvesting System Using Integrated GIS-Based Remote Sensing Approach
  192. The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization
  193. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
  194. RBFNN-based model for heavy metal prediction for different climatic and pollution conditions
  195. OPTIMAL TIMAH TASOH RESERVOIR IN, PERLIS: AN OPERATION USING THE GRAVITATIONAL SEARCH ALGORITHM (GSA)
  196. Artificial intelligence based models for stream-flow forecasting: 2000–2015
  197. Ultrasonic Surface Wave Monitoring for Steel Fibre-Reinforced Concrete Using Gel-Coupled Piezoceramic Sensors: A Case Study
  198. Structural Health monitoring of Buildings and Bridges
  199. RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia
  200. Uncertainty analysis for extreme flood events in a semi-arid region
  201. Application of intelligent optimization techniques and investigating the effect of reservoir size in calibrating the reservoir operating policy
  202. Application of the generalized likelihood uncertainty estimation (GLUE) approach for assessing uncertainty in hydrological models: a review
  203. Augmentation of an artificial neural network and modified stochastic dynamic programing model for optimal release policy
  204. Integrated approach to financial assessment of water supply and distribution systems to estimate future development costs in urban regions
  205. State-of-the-Art for Modelling Reservoir Inflows and Management Optimization
  206. ANN Based Sediment Prediction Model Utilizing Different Input Scenarios
  207. Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy
  208. Comment on "A hybrid model of self organizing maps and least square support vector machine for river flow forecasting" by Ismail et al. (2012)
  209. Reservoir Optimization in Water Resources: a Review
  210. New Approach: Integrated Risk-Stochastic Dynamic Model for Dam and Reservoir Optimization
  211. Corrigendum: Dynamic versus static artificial neural network model for masonry creep deformation
  212. Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure
  213. Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach
  214. Characteristics of Low Reynolds Number Shear-Free Turbulence at an Impermeable Base
  215. Measurements of the Stiffness and Thickness of the Pavement Asphalt Layer Using the Enhanced Resonance Search Method
  216. A GIS-ANN-Based Approach for Enhancing the Effect of Slope in the Modified Green-Ampt Model
  217. Optimal Operation of Klang Gate Dam Using Genetic Algorithm
  218. Ramalan Cirian Reologi Campuran Berasfalt Menggunakan Rangkaian Saraf Tiruan
  219. Dielectric and hardness measurements of planetary analog rocks in support of in-situ subsurface sampling
  220. Quantifying uncertainties associated with depth duration frequency curves
  221. Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring
  222. Model calibration and uncertainty analysis of runoff in the Zayanderood River basin using generalized likelihood uncertainty estimation (GLUE) method
  223. Erratum to: Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
  224. Dynamic versus static artificial neural network model for masonry creep deformation
  225. Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
  226. Amplified wavelet-ANFIS-based model for GPS/INS integration to enhance vehicular navigation system
  227. Integrated Artificial Neural Network (ANN) and Stochastic Dynamic Programming (SDP) Model for Optimal Release Policy
  228. Improving Rainfall Forecasting Efficiency Using Modified Adaptive Neuro-Fuzzy Inference System (MANFIS)
  229. Intelligent Systems in Optimizing Reservoir Operation Policy: A Review
  230. Forecasting the Level of Reservoirs Using Multiple Input Fuzzification in ANFIS
  231. Application of artificial bee colony (ABC) algorithm in search of optimal release of Aswan High Dam
  232. Desalination of Brackish Water Using Nanofiltration: Performance Comparison of Different Membranes
  233. Evolutionary techniques versus swarm intelligences: application in reservoir release optimization
  234. Erratum to: Neural network nonlinear modeling for hydrogen production using anaerobic fermentation
  235. Reservoir-system simulation and optimization techniques
  236. Evaluation of methane generation rate and potential from selected landfills in Malaysia
  237. Performance analysis of artificial bee colony (ABC) algorithm in optimizing release policy of Aswan High Dam
  238. Stability assessment of earth slope using modified particle swarm optimization
  239. Multi-lead ahead prediction model of reference evapotranspiration utilizing ANN with ensemble procedure
  240. A modified gravitational search algorithm for slope stability analysis
  241. Methane and carbon dioxide emissions from Sungai Sedu open dumping during wet season in Malaysia
  242. Neural network nonlinear modeling for hydrogen production using anaerobic fermentation
  243. Empirical gas emission and oxidation measurement at cover soil of dumping site: example from Malaysia
  244. Tidal current turbines glance at the past and look into future prospects in Malaysia
  245. Accuracy Enhancement of Inertial Sensors Utilizing High Resolution Spectral Analysis
  246. Radial basis function neural networks for reliably forecasting rainfall
  247. Nanofiltration membrane modification by UV grafting for salt rejection and fouling resistance improvement for brackish water desalination
  248. Application of artificial neural networks for water quality prediction
  249. Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia
  250. Review of rehabilitation strategies for water distribution pipes
  251. Adaptive neuro-fuzzy inference system–based model for elevation–surface area–storage interrelationships
  252. Analysis of hydrological processes of Langat River sub basins at Lui and Dengkil
  253. Daily water level forecasting using adaptive neuro-fuzzy interface system with different scenarios: Klang Gate, Malaysia
  254. Reliability analysis of earth slopes using hybrid chaotic particle swarm optimization
  255. Fast orthogonal search (FOS) versus fast Fourier transform (FFT) as spectral model estimations techniques applied for structural health monitoring (SHM)
  256. Monitoring and control of a partially packed biological aerated filter (BAF) reactor for improving nitrogen removal efficiency
  257. Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations
  258. Adaptive Neural Network Modelling in Fatigue life Prediction under Load History effects
  259. Modified particle swarm optimization for optimum design of spread footing and retaining wall
  260. Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network
  261. Review on Statistical Based Methods of Measuring the Water Pipes Reliability
  262. Prediction of fatigue crack growth rate using rule-based systems
  263. Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
  264. Nitrogen-removal efficiency in an upflow partially packed biological aerated filter (BAF) without backwashing process
  265. Application of Artificial Neural networks in modeling water networks
  266. Regularized versus non-regularized neural network model for prediction of saturated soil-water content on weathered granite soil formation
  267. An integrated neural network stochastic dynamic programming model for optimizing the operation policy of Aswan High Dam
  268. GPS/INS integration utilizing dynamic neural networks for vehicular navigation
  269. CUSPARC IP processor: Design, characterization and applications
  270. A novel N-bit SAR implementation for All-Digital DLL circuits
  271. Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation
  272. Regional landfills methane emission inventory in Malaysia
  273. Application of artificial neural network in estimating monthly time series reference evapotranspiration with minimum and maximum temperatures
  274. Applications of the Box-Wilson Design Model for Bio-hydrogen Production using Clostridium saccharoperbutylacetonicum N1-4 (ATCC 13564)
  275. Creep Predicting Model in Masonry Structure Utilizing Dynamic Neural Network
  276. Performance evaluation of a non-linear error model for underwater range computation utilizing GPS sonobuoys
  277. Fast orthogonal search approach for distance protection of transmission lines
  278. Neural network modeling of time-dependent creep deformations in masonry structures
  279. Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications
  280. Performance Enhancement of Underwater Target Tracking by Fusing Data of Array of Global Positioning System Sonobuoys
  281. ANFIS-Based Model for Real-time INS/GPS Data Fusion for Vehicular Navigation System
  282. Adaptive-Neuro Fuzzy Inference System for Human Posture Classification Using a Simplified Shock Graph
  283. Application of Neural Network for Scour and Air Entrainment Prediction
  284. Enhancing Inflow Forecasting Model at Aswan High Dam Utilizing Radial Basis Neural Network and Upstream Monitoring Stations Measurements
  285. Neural Network Model for Nile River Inflow Forecasting Based on Correlation Analysis of Historical Inflow Data
  286. Optimizing neuro-fuzzy modules for data fusion of vehicular navigation systems using temporal cross-validation
  287. An Augmented Wavelet - Neuro-Fuzzy Module for Enhancing MEMS based Navigation Systems
  288. Adaptive neuro-fuzzy module for inertial navigation system/global positioning system integration utilising position and velocity updates with real-time cross-validation
  289. A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam