Search Results - "Sefelnasr, Ahmed"

Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia by Hanoon, Marwah Sattar, Ahmed, Ali Najah, Zaini, Nur’atiah, Razzaq, Arif, Kumar, Pavitra, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…Accurately predicting meteorological parameters such as air temperature and humidity plays a crucial role in air quality management. This study proposes…”
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Suspended sediment load prediction using long short-term memory neural network by AlDahoul, Nouar, Essam, Yusuf, Kumar, Pavitra, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, Elshafie, Ahmed

“…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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Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting by Afan, Haitham Abdulmohsin, Allawi, Mohammed Falah, El-Shafie, Amr, Yaseen, Zaher Mundher, Ahmed, Ali Najah, Malek, Marlinda Abdul, Koting, Suhana Binti, Salih, Sinan Q., Mohtar, Wan Hanna Melini Wan, Lai, Sai Hin, Sefelnasr, Ahmed, Sherif, Mohsen, El-Shafie, Ahmed

“…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 Artificial Intelligence Models for modeling Water Quality in Groundwater: Comprehensive Review, Evaluation and Future Trends by Hanoon, Marwah Sattar, Ahmed, Ali Najah, Fai, Chow Ming, Birima, Ahmed H., Razzaq, Arif, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…This study reported the state of the art of different artificial intelligence (AI) methods for groundwater quality (GWQ) modeling and introduce a brief…”
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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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Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches by Osman, Ahmedbahaaaldin Ibrahem Ahmed, Ahmed, Ali Najah, Huang, Yuk Feng, Kumar, Pavitra, Birima, Ahmed H., Sherif, Mohsen, Sefelnasr, Ahmed, Ebraheemand, Abdel Azim, El-Shafie, Ahmed

“…Growing population and rapid urbanization are among the major causes of ground water level (GWL) depletion. Modeling GWL is considered as tough task as the GWL…”
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Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms by Yafouz, Ayman, Ahmed, Ali Najah, Zaini, Nur'atiah, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…To accurately predict tropospheric ozone concentration(O 3 ), it is needed to investigate the variety of artificial intelligence techniques' performance, such…”
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Groundwater management options in an arid environment: The Nubian Sandstone Aquifer System, Eastern Sahara by Sefelnasr, Ahmed, Gossel, Wolfgang, Wycisk, Peter

“…Groundwater is the only water resource across the “hyper” arid Eastern Sahara. Management of this resource is imperative for the sustainable development…”
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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

“…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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Investigating photovoltaic solar power output forecasting using machine learning algorithms by Essam, Yusuf, Ahmed, Ali Najah, Ramli, Rohaini, Chau, Kwok-Wing, Idris Ibrahim, Muhammad Shazril, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…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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A comparison of machine learning models for suspended sediment load classification by AlDahoul, Nouar, Ahmed, Ali Najah, Allawi, Mohammed Falah, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok-wing, El-Shafie, Ahmed

“…The suspended sediment load (SSL) is one of the major hydrological processes affecting the sustainability of river planning and management. Moreover, sediments…”
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Determination of Natural Radionuclides for Water Resources on the West Bank of the Nile River, Assiut Governorate, Egypt by El-Gamal, Hany, Sefelnasr, Ahmed, Salaheldin, Ghada

“…Estimations of natural radioactivity levels were carried out for water (surface and groundwater) samples collected from the west bank of the Nile River in…”
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Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction by Yafouz, Ayman, AlDahoul, Nouar, Birima, Ahmed H., Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, Allawi, Mohammed Falah, Elshafie, Ahmed

“…Ozone (O3) is one of the common air pollutants. An increase in the ozone concentration can adversely affect public health and the environment such as…”
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Spatial and Temporal Changes of Groundwater Storage in the Quaternary Aquifer, UAE by Sherif, Mohsen, Sefelnasr, Ahmed, Ebraheem, Abdel Azim, Al Mulla, Mohamed, Alzaabi, Mohamed, Alghafli, Khaled

“…To study the temporal and spatial variations of the groundwater quantity and quality in response to intensive groundwater exploitation from the Quaternary…”
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Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia by Ahmed, Ali Najah, Yafouz, Ayman, Birima, Ahmed H., Kisi, Ozgur, Huang, Yuk Feng, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…A reliable model to predict the changes in the water levels in a river is crucial for better planning to mitigate any risk associated with flooding. In this…”
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Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques by Abdalrahman, Ghada, Lai, Sai Hin, Kumar, Pavitra, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok Wing, Elshafie, Ahmed

“…Predicting the infiltration rate (IR) of treated wastewater (TWW) is essential in controlling clogging problems. Most researchers that predict the IR using…”
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Reservoir water balance simulation model utilizing machine learning algorithm by Dashti Latif, Sarmad, Najah Ahmed, Ali, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…Developing water losses and reservoir final storage forecast has become an increasingly important task for reservoir operation. Accurate forecasts would lead…”
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Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction by Jumin, Ellysia, Zaini, Nuratiah, Ahmed, Ali Najah, Abdullah, Samsuri, Ismail, Marzuki, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…High level of tropospheric ozone concentration, exceeding allowable level has been frequently reported in Malaysia. This study proposes accurate model based on…”
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Assessment of Hydrogeochemical Characteristics and Seawater Intrusion in Coastal Aquifers by Integrating Statistical and Graphical Techniques: Quaternary Aquifer, West Nile Delta, Egypt by Hasan, Samia S., Salem, Zenhom E., Sefelnasr, Ahmed

“…The Quaternary aquifer in the western Nile Delta is threatened by seawater intrusion. Few studies have integrated diverse techniques for the assessment of…”
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Risk Assessment and Mapping of Flash Flood Vulnerable Zones in Arid Region, Fujairah City, UAE-Using Remote Sensing and GIS-Based Analysis by Subraelu, P., Ahmed, Alaa, Ebraheem, Abdel Azim, Sherif, Mohsen, Mirza, Shaher Bano, Ridouane, Fouad Lamghari, Sefelnasr, Ahmed

“…A flash flood is the most common natural hazard that endangers people’s lives, the economy, and infrastructure. Watershed management and planning are essential…”
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