Search Results - "Essam, Yusuf"
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Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
Published in Scientific reports (07-01-2022)“…High loads of suspended sediments in rivers are known to cause detrimental effects to potable water sources, river water quality, irrigation activities, and…”
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Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Published in Scientific reports (10-03-2022)“…Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due to extreme values of streamflow (SF). Due to this, the study of SF…”
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Suspended sediment load prediction using long short-term memory neural network
Published in Scientific reports (09-04-2021)“…Rivers carry suspended sediments along with their flow. These sediments deposit at different places depending on the discharge and course of the river…”
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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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Investigating photovoltaic solar power output forecasting using machine learning algorithms
Published in Engineering applications of computational fluid mechanics (31-12-2022)“…Solar power integration in electrical grids is complicated due to dependence on volatile weather conditions. To address this issue, continuous research and…”
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Investigating dam reservoir operation optimization using metaheuristic algorithms
Published in Applied water science (01-12-2022)“…The optimization of dam reservoir operations is of the utmost importance, as operators strive to maximize revenue while minimizing expenses, risks, and…”
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An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery
Published in Ain Shams Engineering Journal (01-12-2021)“…Sediment deposition causes the reduction of aquatic habitats and increase of water velocities within rivers, which negatively impacts the environment and the…”
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Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction
Published in Ain Shams Engineering Journal (01-06-2021)“…This research studies the implementation of artificial neural networks (ANN) in predicting the concentration of total suspended solids (TSS) for the Fei Tsui…”
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Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia
Published in Soil dynamics and earthquake engineering (1984) (01-08-2021)“…Earthquakes have been universally recognised as seismological disasters that pose a threat to civilization and need to be monitored through prediction models…”
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