Machine learning methods for better water quality prediction AN Ahmed, FB Othman, HA Afan, RK Ibrahim, CM Fai, MS Hossain, ... Journal of Hydrology 578, 124084, 2019 | 432 | 2019 |
Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia AIA Osman, AN Ahmed, MF Chow, YF Huang, A El-Shafie Ain Shams Engineering Journal 12 (2), 1545-1556, 2021 | 292 | 2021 |
Air quality status during 2020 Malaysia Movement Control Order (MCO) due to 2019 novel coronavirus (2019-nCoV) pandemic S Abdullah, AA Mansor, NNLM Napi, WNW Mansor, AN Ahmed, M Ismail, ... Science of the Total Environment 729, 139022, 2020 | 235 | 2020 |
Application of artificial neural networks for water quality prediction A Najah, A El-Shafie, OA Karim, AH El-Shafie Neural Computing and Applications 22, 187-201, 2013 | 215 | 2013 |
Prediction of Johor River water quality parameters using artificial neural networks A Najah, A Elshafie, OA Karim, O Jaffar European Journal of scientific research 28 (3), 422-435, 2009 | 210 | 2009 |
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm Y Tikhamarine, D Souag-Gamane, AN Ahmed, O Kisi, A El-Shafie Journal of Hydrology 582, 124435, 2020 | 206 | 2020 |
Daily forecasting of dam water levels: comparing a support vector machine (SVM) model with adaptive neuro fuzzy inference system (ANFIS) A Hipni, A El-shafie, A Najah, OA Karim, A Hussain, M Mukhlisin Water resources management 27, 3803-3823, 2013 | 193 | 2013 |
A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting KSMH Ibrahim, YF Huang, AN Ahmed, CH Koo, A El-Shafie Alexandria Engineering Journal 61 (1), 279-303, 2022 | 157 | 2022 |
Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia WM Ridwan, M Sapitang, A Aziz, KF Kushiar, AN Ahmed, A El-Shafie Ain Shams Engineering Journal 12 (2), 1651-1663, 2021 | 157 | 2021 |
Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring A Najah, A El-Shafie, OA Karim, AH El-Shafie Environmental Science and Pollution Research 21, 1658-1670, 2014 | 125 | 2014 |
Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization Y Tikhamarine, D Souag-Gamane, AN Ahmed, SS Sammen, O Kisi, ... Journal of Hydrology 589, 125133, 2020 | 122 | 2020 |
Water quality prediction model based support vector machine model for ungauged river catchment under dual scenarios AS Abobakr Yahya, AN Ahmed, F Binti Othman, RK Ibrahim, HA Afan, ... Water 11 (6), 1231, 2019 | 112 | 2019 |
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series B Mohammadi, NTT Linh, QB Pham, AN Ahmed, J Vojteková, Y Guan, ... Hydrological Sciences Journal 65 (10), 1738-1751, 2020 | 106 | 2020 |
Towards a time and cost effective approach to water quality index class prediction JY Ho, HA Afan, AH El-Shafie, SB Koting, NS Mohd, WZB Jaafar, HL Sai, ... Journal of Hydrology 575, 148-165, 2019 | 105 | 2019 |
Performance of artificial neural network and regression techniques for rainfall-runoff prediction A El-Shafie, M Mukhlisin, AA Najah, MR Taha International Journal of Physical Sciences 6 (8), 1997-2003, 2011 | 99 | 2011 |
Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques HA Afan, A Ibrahem Ahmed Osman, Y Essam, AN Ahmed, YF Huang, ... Engineering Applications of Computational Fluid Mechanics 15 (1), 1420-1439, 2021 | 97 | 2021 |
Groundwater level prediction using machine learning algorithms in a drought-prone area QB Pham, M Kumar, F Di Nunno, A Elbeltagi, F Granata, ARMT Islam, ... Neural Computing and Applications 34 (13), 10751-10773, 2022 | 96 | 2022 |
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation ZM Yaseen, MF Allawi, H Karami, M Ehteram, S Farzin, AN Ahmed, ... Neural Computing and Applications 31, 8807-8821, 2019 | 96 | 2019 |
An application of different artificial intelligences techniques for water quality prediction A Najah, A El-Shafie, OA Karim, O Jaafar, AH El-Shafie Int J Phys Sci 6 (22), 5298-5308, 2011 | 91 | 2011 |
Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm FB Banadkooki, M Ehteram, AN Ahmed, FY Teo, M Ebrahimi, CM Fai, ... Environmental Science and Pollution Research 27, 38094-38116, 2020 | 89 | 2020 |