Search Results - "Afan, Haitham Abdulmohsin"

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    Application of non-parametric approaches to identify trend in streamflow during 1976–2007 (Naula watershed) by Malik, Anurag, Kumar, Anil, Najah Ahmed, Ali, Ming Fai, Chow, Abdulmohsin Afan, Haitham, Sefelnasr, Ahmed, Sherif, Mohsen, El-Shafie, Ahmed

    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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    Journal Article
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    Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm by Ehteram, Mohammad, Binti Othman, Faridah, Mundher Yaseen, Zaher, Abdulmohsin Afan, Haitham, Falah Allawi, Mohammed, Bt. Abdul Malek, Marlinda, Najah Ahmed, Ali, Shahid, Shamsuddin, P. Singh, Vijay, El-Shafie, Ahmed

    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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    Machine learning methods for better water quality prediction by Najah Ahmed, Ali, Binti Othman, Faridah, Abdulmohsin Afan, Haitham, Khaleel Ibrahim, Rusul, Ming Fai, Chow, Shabbir Hossain, Md, Ehteram, Mohammad, Elshafie, Ahmed

    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 by Yaseen, Zaher Mundher, El-shafie, Ahmed, Jaafar, Othman, Afan, Haitham Abdulmohsin, Sayl, Khamis Naba

    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 by Hameed, Mohammed, Sharqi, Saadi Shartooh, Yaseen, Zaher Mundher, Afan, Haitham Abdulmohsin, Hussain, Aini, Elshafie, Ahmed

    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 by Afan, Haitham Abdulmohsin, El-shafie, Ahmed, Mohtar, Wan Hanna Melini Wan, Yaseen, Zaher Mundher

    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 by Afan, Haitham Abdulmohsin, Ibrahem Ahmed Osman, Ahmedbahaaaldin, Essam, Yusuf, Ahmed, Ali Najah, Huang, Yuk Feng, Kisi, Ozgur, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok-wing, El-Shafie, Ahmed

    “…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 by Elzwayie, Adnan, El-shafie, Ahmed, Yaseen, Zaher Mundher, Afan, Haitham Abdulmohsin, Allawi, Mohammed Falah

    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 by Mijwel, Abd-Alkhaliq Salih, Ahmed, Ali Najah, Afan, Haitham Abdulmohsin, Alayan, Haiyam Mohammed, Sherif, Mohsen, Elshafie, Ahmed

    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 by Afan, Haitham Abdulmohsin, Yafouz, Ayman, Birima, Ahmed H., Ahmed, Ali Najah, Kisi, Ozgur, Chaplot, Barkha, El-Shafie, Ahmed

    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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    ANN Based Sediment Prediction Model Utilizing Different Input Scenarios by Afan, Haitham Abdulmohsin, El-Shafie, Ahmed, Yaseen, Zaher Mundher, Hameed, Mohammed Majeed, Wan Mohtar, Wan Hanna Melini, Hussain, Aini

    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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    Optimised neural network model for river-nitrogen prediction utilizing a new training approach by Kumar, Pavitra, Lai, Sai Hin, Mohd, Nuruol Syuhadaa, Kamal, Md Rowshon, Afan, Haitham Abdulmohsin, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, El-shafie, Ahmed

    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 by Yaseen, Zaher Mundher, Allawi, Mohammed Falah, Karami, Hojat, Ehteram, Mohammad, Farzin, Saeed, Ahmed, Ali Najah, Koting, Suhana Binti, Mohd, Nuruol Syuhadaa, Jaafar, Wan Zurina Binti, Afan, Haitham Abdulmohsin, El-Shafie, Ahmed

    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 by Elzwayie, Adnan, Afan, Haitham Abdulmohsin, Allawi, Mohammed Falah, El-Shafie, Ahmed

    “…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 by Keshtegar, Behrooz, Allawi, Mohammed Falah, Afan, Haitham Abdulmohsin, El-Shafie, Ahmed

    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 by Abobakr Yahya, Abobakr Saeed, Ahmed, Ali Najah, Binti Othman, Faridah, Ibrahim, Rusul Khaleel, Afan, Haitham Abdulmohsin, El-Shafie, Amr, Fai, Chow Ming, Hossain, Md Shabbir, Ehteram, Mohammad, Elshafie, Ahmed

    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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