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Boo, Kenneth Beng Wee and El-Shafie, Ahmed and Othman, Faridah and Khan, Md. Munir Hayet and Birima, Ahmed H. and Ahmed, Ali Najah (2024) Groundwater level forecasting with machine learning models: A review. Water Research, 252. ISSN 1879-2448, DOI https://doi.org/10.1016/j.watres.2024.121249.
Boo, Kenneth Beng Wee and El-Shafie, Ahmed and Othman, Faridah and Khan, Md. Munir Hayet and Birima, Ahmed H. and Ahmed, Ali Najah (2024) Groundwater level forecasting with machine learning models: A review. Water Research, 252. p. 121249. ISSN 0043-1354, DOI https://doi.org/10.1016/j.watres.2024.121249.
Latif, Sarmad Dashti and Lai, Vivien and Hahzaman, Farah Hazwani and Ahmed, Ali Najah and Huang, Yuk Feng and Birima, Ahmed H. and El-Shafie, Ahmed (2024) Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia. Results in Engineering, 21. ISSN 2590-1230, DOI https://doi.org/10.1016/j.rineng.2024.101872.
Ahmed, Ali Najah and Yafouz, Ayman and Birima, Ahmed H. and Kisi, Ozgur and Huang, Yuk Feng and Sherif, Mohsen and Sefelnasr, Ahmed and El-Shafie, Ahmed (2022) Water level prediction using various machine learning algorithms: A case study of Durian Tunggal river, Malaysia. Engineering Applications of Computational Fluid Mechanics, 16 (1). pp. 422-440. ISSN 1994-2060, DOI https://doi.org/10.1080/19942060.2021.2019128.
Osman, Ahmedbahaaaldin Ibrahem Ahmed and Ahmed, Ali Najah and Huang, Yuk Feng and Kumar, Pavitra and Birima, Ahmed H. and Sherif, Mohsen and Sefelnasr, Ahmed and Ebraheemand, Abdel Azim and El-Shafie, Ahmed (2022) Past, present and perspective methodology for groundwater modeling-based machine learning approaches. Archives Of Computational Methods In Engineering, 29 (6). pp. 3843-3859. ISSN 1134-3060, DOI https://doi.org/10.1007/s11831-022-09715-w.
Yafouz, Ayman and AlDahoul, Nouar and Birima, Ahmed H. and Ahmed, Ali Najah and Sherif, Mohsen and Sefelnasr, Ahmed and Allawi, Mohammed Falah and Ahmed ElShafie, Ahmed Hussein Kamel (2022) Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction. Alexandria Engineering Journal, 61 (6). pp. 4607-4622. ISSN 1110-0168, DOI https://doi.org/10.1016/j.aej.2021.10.021.
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.
Ziyad Sami, Balahaha Fadi and Latif, Sarmad Dashti and Ahmed, Ali Najah and Chow, Ming Fai and Murti, Muhammad Ary and Suhendi, Asep and Ziyad Sami, Balahaha Hadi and Wong, Jee Khai and Birima, Ahmed H. and El-Shafie, Ahmed (2022) Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan. Scientific Reports, 12 (1). ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-022-06969-z.
Essam, Yusuf and Huang, Yuk Feng and Ng, Jing Lin and Birima, Ahmed H. and Ahmed, Ali Najah and El-Shafie, Ahmed (2022) Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms. Scientific Reports, 12 (1). ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-022-07693-4.
Hanoon, Marwah Sattar and Abdullatif, Alharazi Abdulhadi B. and Ahmed, Ali Najah and Razzaq, Arif and Birima, Ahmed H. and Ahmed El-Shafie, Ahmed Hussein Kamel (2022) A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: A case study in Malaysia. Earth Science Informatics, 15 (1). pp. 91-104. ISSN 1865-0473, DOI https://doi.org/10.1007/s12145-021-00689-0.
Hanoon, Marwah Sattar and Ammar, Amr Moftah and Ahmed, Ali Najah and Razzaq, Arif and Birima, Ahmed H. and Kumar, Pavitra and Sherif, Mohsen and Sefelnasr, Ahmed and El-Shafie, Ahmed (2022) Application of soft computing in predicting groundwater quality parameters. Frontiers In Environmental Science, 10. ISSN 2296-665X, DOI https://doi.org/10.3389/fenvs.2022.828251.
Essam, Yusuf and Huang, Yuk Feng and Birima, Ahmed H. and Ahmed, Ali Najah and Ahmed El-Shafie, Ahmed Hussein Kamel (2022) Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms. Scientific Reports, 12 (1). ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-021-04419-w.
Latif, Sarmad Dashti and Birima, Ahmed H. and Ahmed, Ali Najah and Hatem, Dahan Mohammed and Al-Ansari, Nadhir and Fai, Chow Ming and El-Shafie, Ahmed (2022) Development of prediction model for phosphate in reservoir water system based machine learning algorithms. Ain Shams Engineering Journal, 13 (1). ISSN 2090-4479, DOI https://doi.org/10.1016/j.asej.2021.06.009.
Hanoon, Marwah Sattar and Ahmed, Ali Najah and Fai, Chow Ming and Birima, Ahmed H. and Razzaq, Arif and Sherif, Mohsen and Sefelnasr, Ahmed and El-Shafie, Ahmed (2021) Application of artificial intelligence models for modeling water quality in groundwater: Comprehensive review, evaluation and future trends. Water Air and Soil Pollution, 232 (10). ISSN 0049-6979, DOI https://doi.org/10.1007/s11270-021-05311-z.
