Search Results - "Afan, Haitham Abdulmohsin"
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Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting
Published in Scientific reports (13-03-2020)“…In nature, streamflow pattern is characterized with high non-linearity and non-stationarity. Developing an accurate forecasting model for a streamflow is…”
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Application of non-parametric approaches to identify trend in streamflow during 1976–2007 (Naula watershed)
Published in Alexandria engineering journal (01-06-2020)“…The identification of trends in hydrological data is crucial for sustainable planning and management of water resources under the climate-change scenario. This…”
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Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions
Published in Applied sciences (01-10-2019)“…Suspended sediment load (SLL) prediction is a significant field in hydrology and hydraulic sciences, as sedimentation processes change the soil quality…”
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Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm
Published in Water (Basel) (01-06-2018)“…Flood prediction and control are among the major tools for decision makers and water resources planners to avoid flood disasters. The Muskingum model is one of…”
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5
Machine learning methods for better water quality prediction
Published in Journal of hydrology (Amsterdam) (01-11-2019)“…[Display omitted] •The water quality parameters (i.e. pH, AN, and SS) of Johor River was predicted.•Three models were implemented using enhanced Wavelet…”
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Artificial intelligence based models for stream-flow forecasting: 2000–2015
Published in Journal of hydrology (Amsterdam) (01-11-2015)“…•State-of-the-art for the application of AI in streamflow forecasting presented.•The authors defined each data-driven of AI and AI-complementary model.•An…”
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Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
Published in Neural computing & applications (01-12-2017)“…The management of river water quality is one the most significant environmental challenges. Water quality index (WQI) describes several water quality variables…”
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Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
Published in Journal of hydrology (Amsterdam) (01-10-2016)“…•The authors introduced a comprehensive state-of-the-art for AI-based sediment model.•The authors defined each data-driven of AI and AI-complementary model.•An…”
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Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
Published in Engineering applications of computational fluid mechanics (01-01-2021)“…This study proposes two techniques: Deep Learning (DL) and Ensemble Deep Learning (EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two…”
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RBFNN-based model for heavy metal prediction for different climatic and pollution conditions
Published in Neural computing & applications (01-08-2017)“…Heavy metal toxicity is a matter of considerable concern for environmental researchers. A highly cause of heavy metal toxicity in the aquatic environments is…”
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Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes
Published in Scientific reports (25-10-2023)“…This study aims to assess the practicality of utilizing artificial intelligence (AI) to replicate the adsorption capability of functionalized carbon nanotubes…”
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Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster
Published in Natural hazards (Dordrecht) (01-06-2022)“…Due to the need to reduce the flooding disaster, river streamflow prediction is required to be enhanced by the aid of deep learning algorithms. To achieve…”
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An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration
Published in PloS one (31-05-2019)“…Reference evapotranspiration (ET0) plays a fundamental role in irrigated agriculture. The objective of this study is to simulate monthly ET0 at a…”
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ANN Based Sediment Prediction Model Utilizing Different Input Scenarios
Published in Water resources management (01-03-2015)“…Modeling sediment load is a significant factor in water resources engineering as it affects directly the design and management of water resources. In this…”
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15
Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction
Published in PloS one (31-05-2019)“…Solar energy is a major type of renewable energy, and its estimation is important for decision-makers. This study introduces a new prediction model for solar…”
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Optimised neural network model for river-nitrogen prediction utilizing a new training approach
Published in PloS one (28-09-2020)“…In the past few decades, there has been a rapid growth in the concentration of nitrogenous compounds such as nitrate-nitrogen and ammonia-nitrogen in rivers,…”
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A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published in Neural computing & applications (01-12-2019)“…One of the major challenges and difficulties to generate optimal operation rule for dam and reservoir operation are how efficient the optimization algorithm to…”
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Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art
Published in Environmental science and pollution research international (01-05-2017)“…Several research efforts have been conducted to monitor and analyze the impact of environmental factors on the heavy metal concentrations and physicochemical…”
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Optimized River Stream-Flow Forecasting Model Utilizing High-Order Response Surface Method
Published in Water resources management (01-09-2016)“…Accurate and reliable stream-flow forecasting has a key role in water resources planning and management. Most recently, soft computing approaches have become…”
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Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios
Published in Water (Basel) (01-06-2019)“…Water quality analysis is a crucial step in water resources management and needs to be addressed urgently to control any pollution that may adversely affect…”
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