Items where Author is "Afan, Haitham Abdulmohsin"

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Number of items: 15.

Article

Afan, Haitham Abdulmohsin and Yafouz, Ayman and Birima, Ahmed H. and Ahmed, Ali Najah and Kisi, Ozgur and Chaplot, Barkha and El-Shafie, Ahmed (2022) Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster. Natural Hazards, 112 (2). pp. 1527-1545. ISSN 0921-030X, DOI https://doi.org/10.1007/s11069-022-05237-7.

Wan Mohtar, Wan Hanna Melini and Hin Joo Bong, Charles and Ab Ghani, Aminuddin and Safari, Mir Jafar Sadegh and Taib, Aizat Mohd and Afan, Haitham Abdulmohsin and El-Shafie, Ahmed (2022) Sediment incipient motion in sewer with a bed deposit. Teknik Dergi, 33 (1). pp. 11473-11486. ISSN 1300-3453, DOI https://doi.org/10.18400/tekderg.572529.

Kamel, Ammar Hatem and Afan, Haitham Abdulmohsin and Sherif, Mohsen and Ahmed, Ali Najah and El-Shafie, Ahmed (2021) RBFNN versus GRNN modeling approach for sub-surface evaporation rate prediction in arid region. Sustainable Computing-Informatics & Systems, 30. ISSN 2210-5379, DOI https://doi.org/10.1016/j.suscom.2021.100514.

Afan, Haitham Abdulmohsin and Osman, Ahmedbahaaaldin Ibrahem Ahmed and Essam, Yusuf and Ahmed, Ali Najah and Huang, Yuk Feng and Kisi, Ozgur and Sherif, Mohsen and Sefelnasr, Ahmed and Chau, Kwok-wing and El-Shafie, Ahmed (2021) Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques. Engineering Applications of Computational Fluid Mechanics, 15 (1). pp. 1420-1439. ISSN 1994-2060, DOI https://doi.org/10.1080/19942060.2021.1974093.

Banadkooki, Fatemeh Barzegari and Ehteram, Mohammad and Ahmed, Ali Najah and Teo, Fang Yenn and Fai, Chow Ming and Afan, Haitham Abdulmohsin and Sapitang, Michelle and El-Shafie, Ahmed (2020) Enhancement of groundwater-level prediction using an integrated machine learning model optimized by whale algorithm. Natural Resources Research, 29 (5). pp. 3233-3252. ISSN 1520-7439, DOI doi.org/10.1007/s11053-020-09634-2.

Osman, Abdalla and Afan, Haitham Abdulmohsin and Allawi, Mohammed Falah and Jaafar, Othman and Noureldin, Aboelmagd and Hamzah, Firdaus Mohamad and Ahmed, Ali Najah and El-Shafie, Ahmed (2020) Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow. Journal of Hydrology, 586. p. 124896. ISSN 0022-1694, DOI https://doi.org/10.1016/j.jhydrol.2020.124896.

Othman, Faridah and Alaaeldin, M.E. and Seyam, Mohammed and Ahmed, Ali Najah and Teo, Fang Yenn and Chow, Ming Fai and Afan, Haitham Abdulmohsin and Sherif, Mohsen and Sefelnasr, Ahmed and El-Shafie, Ahmed (2020) Efficient river water quality index prediction considering minimal number of inputs variables. Engineering Applications of Computational Fluid Mechanics, 14 (1). pp. 751-763. ISSN 1994-2060, DOI https://doi.org/10.1080/19942060.2020.1760942.

Valikhan-Anaraki, Mahdi and Mousavi, Sayed-Farhad and Farzin, Saeed and Karami, Hojat and Ehteram, Mohammad and Kisi, Ozgur and Fai, Chow Ming and Hossain, Md Shabbir and Hayder, Gasim and Ahmed, Ali Najah and El-Shafie, Amr H. and Hashim, Huzaifa and Afan, Haitham Abdulmohsin and Lai, Sai Hin and El-Shafie, Ahmed (2019) Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies. Sustainability, 11 (8). p. 2337. ISSN 2071-1050, DOI https://doi.org/10.3390/su11082337.

Ahmed, Ali Najah and Othman, Faridah and Afan, Haitham Abdulmohsin and Ibrahim, Rusul Khaleel and Chow, Ming Fai and Hossain, Md Shabbir and Ehteram, Mohammad and El-Shafie, Ahmed (2019) Machine learning methods for better water quality prediction. Journal of Hydrology, 578. p. 124084. ISSN 0022-1694, DOI https://doi.org/10.1016/j.jhydrol.2019.124084.

Yaseen, Zaher and Ehteram, Mohammad and Hossain, Md. and Fai, Chow and Koting, Suhana and Mohd, Nuruol Syuhadaa and Jaafar, Wan Zurina Wan and Afan, Haitham Abdulmohsin and Lai, Sai Hin and Zaini, Nuratiah and Ahmed, Ali and El-Shafie, Ahmed (2019) A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems. Sustainability, 11 (7). p. 1953. ISSN 2071-1050, DOI https://doi.org/10.3390/su11071953.

Abobakr Yahya, Abobakr Saeed and Ahmed, Ali Najah and Othman, Faridah and Ibrahim, Rusul Khaleel and Afan, Haitham Abdulmohsin and El-Shafie, Amr and Fai, Chow Ming and Hossain, Md Shabbir and Ehteram, Mohammad and El-Shafie, Ahmed (2019) Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios. Water, 11 (6). p. 1231. ISSN 2073-4441, DOI https://doi.org/10.3390/w11061231.

Yaseen, Zaher Mundher and Allawi, Mohammed Falah and Karami, Hojat and Ehteram, Mohammad and Farzin, Saeed and Ahmed, Ali Najah and Koting, Suhana and Mohd, Nuruol Syuhadaa and Jaafar, Wan Zurina Wan and Afan, Haitham Abdulmohsin and El-Shafie, Ahmed (2019) A hybrid bat–swarm algorithm for optimizing dam and reservoir operation. Neural Computing and Applications, 31 (12). pp. 8807-8821. ISSN 0941-0643, DOI https://doi.org/10.1007/s00521-018-3952-9.

Turgut, Mert Sinan and Turgut, Oguz Emrah and Afan, Haitham Abdulmohsin and El-Shafie, Ahmed (2019) A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation. Journal of Hydrology, 577. p. 123959. ISSN 0022-1694, DOI https://doi.org/10.1016/j.jhydrol.2019.123959.

Ehteram, Mohammad and Othman, Faridah and Yaseen, Zaher Mundher and Afan, Haitham Abdulmohsin and Allawi, Mohammed Falah and Malek, Marlinda Abdul and Ahmed, Ali Najah and Shahid, Shamsuddin and Singh, Vijay P. and El-Shafie, Ahmed (2018) Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm. Water, 10 (6). p. 807. ISSN 2073-4441, DOI https://doi.org/10.3390/w10060807.

Valizadeh, Nariman and Mirzaei, Majid and Allawi, Mohammed Falah and Afan, Haitham Abdulmohsin and Mohd, Nuruol Syuhadaa and Hussain, Aini and El-Shafie, Ahmed (2017) Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art. Natural Hazards, 86 (3). pp. 1377-1392. ISSN 0921-030X, DOI https://doi.org/10.1007/s11069-017-2740-7.

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