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Tan, Woon Yang and Lai, Sai Hin and Teo, Fang Yenn and Armaghani, Danial Jahed and Pavitra, Kumar and Ahmed El-Shafie, Ahmed Hussein Kamel (2022) Three steps towards better forecasting for streamflow deep learning. Applied Sciences-Basel, 12 (24). ISSN 2076-3417, DOI https://doi.org/10.3390/app122412567.
Tan, Woon Yang and Lai, Sai Hin and Teo, Fang Yenn and El-Shafie, Ahmed (2022) State-of-the-art development of two-waves artificial intelligence modeling techniques for river streamflow forecasting. Archives Of Computational Methods In Engineering, 29 (7). pp. 5185-5211. ISSN 1134-3060, DOI https://doi.org/10.1007/s11831-022-09763-2.
Bazrafshan, Ommolbanin and Ehteram, Mohammad and Latif, Sarmad Dashti and Huang, Yuk Feng and Teo, Fang Yenn and Ahmed, Ali Najah and Ahmed El-Shafie, Ahmed Hussein Kamel (2022) Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models. Ain Shams Engineering Journal, 13 (5). ISSN 2090-4479, DOI https://doi.org/10.1016/j.asej.2022.101724.
Fung, Kit Fai and Chew, Kim Soon and Huang, Yuk Feng and Ahmed, Ali Najah and Teo, Fang Yenn and Ng, Jing Lin and Elshafie, Ahmed (2022) Evaluation of spatial interpolation methods and spatiotemporal modeling of rainfall distribution in Peninsular Malaysia. Ain Shams Engineering Journal, 13 (2). ISSN 2090-4479, DOI https://doi.org/10.1016/j.asej.2021.09.001.
Ehteram, Mohammad and Teo, Fang Yenn and Ahmed, Ali Najah and Latif, Sarmad Dashti and Huang, Yuk Feng and Abozweita, Osama and Al-Ansari, Nadhir and El-Shafie, Ahmed (2021) Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms. Ain Shams Engineering Journal, 12 (2). pp. 1665-1676. ISSN 2090-4479, DOI https://doi.org/10.1016/j.asej.2020.08.019.
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.
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.
