| Wastewater treatment plant performance analysis using artificial intelligence–an ensemble approach V Nourani, G Elkiran, SI Abba Water Science and Technology 78 (10), 2064-2076, 2018 | 221 | 2018 |
| Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and GIS techniques R Costache, QB Pham, E Sharifi, NTT Linh, SI Abba, M Vojtek, ... Remote Sensing 12 (1), 106, 2019 | 201 | 2019 |
| Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach G Elkiran, V Nourani, SI Abba Journal of Hydrology 577, 123962, 2019 | 198 | 2019 |
| Groundwater level prediction using machine learning models: A comprehensive review H Tao, MM Hameed, HA Marhoon, M Zounemat-Kermani, S Heddam, ... Neurocomputing 489, 271-308, 2022 | 183 | 2022 |
| River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques JA S.I.Abbaa, Sinan Jasim Hadia Elsevier B.V. Procedia Computer Science 120 (2017) 120, 75–82, 2017 | 140* | 2017 |
| Potential of hybrid data-intelligence algorithms for multi-station modelling of rainfall QB Pham, SI Abba, AG Usman, NTT Linh, V Gupta, A Malik, R Costache, ... Water Resources Management 33, 5067-5087, 2019 | 121 | 2019 |
| Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination SI Abba, SJ Hadi, SS Sammen, SQ Salih, RA Abdulkadir, QB Pham, ... Journal of Hydrology 587, 124974, 2020 | 113 | 2020 |
| Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant SI Abba, QB Pham, AG Usman, NTT Linh, DS Aliyu, Q Nguyen, QV Bach Journal of Water Process Engineering 33, 101081, 2020 | 111 | 2020 |
| Effluent prediction of chemical oxygen demand from the astewater treatment plant using artificial neural network application SI Abba, G Elkiran Procedia Computer Science 120, 156-163, 2017 | 108 | 2017 |
| 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 |
| Optimal sizing and techno-economic analysis of hybrid renewable energy systems—A case study of a photovoltaic/wind/battery/diesel system in Fanisau, Northern Nigeria N Yimen, T Tchotang, A Kanmogne, I Abdelkhalikh Idriss, B Musa, A Aliyu, ... Processes 8 (11), 1381, 2020 | 91 | 2020 |
| Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river G Elkiran, V Nourani, SI Abba, J Abdullahi Global Journal of Environmental Science and Management 4 (4), 439-450, 2018 | 89 | 2018 |
| Non-linear input variable selection approach integrated with non-tuned data intelligence model for streamflow pattern simulation SJ Hadi, SI Abba, SS Sammen, SQ Salih, N Al-Ansari, ZM Yaseen IEEE Access 7, 141533-141548, 2019 | 87 | 2019 |
| Estimation of water quality index using artificial intelligence approaches and multi-linear regression MS Gaya, SI Abba, AM Abdu, AI Tukur, MA Saleh, P Esmaili, NA Wahab Int. J. Artif. Intell. ISSN 2252, 8938, 2020 | 86 | 2020 |
| Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms A Malik, Y Tikhamarine, SS Sammen, SI Abba, S Shahid Environmental Science and Pollution Research, 1-21, 2021 | 85 | 2021 |
| Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index SI Abba, QB Pham, G Saini, NTT Linh, AN Ahmed, M Mohajane, ... Environmental Science and Pollution Research 27, 41524-41539, 2020 | 84 | 2020 |
| Design and performance evaluation of a low-cost autonomous sensor interface for a smart iot-based irrigation monitoring and control system S Abba, J Wadumi Namkusong, JA Lee, M Liz Crespo Sensors 19 (17), 3643, 2019 | 81 | 2019 |
| Implementation of hybrid neuro-fuzzy and self-turning predictive model for the prediction of concrete carbonation depth: A soft computing technique SI Malami, FH Anwar, S Abdulrahman, SI Haruna, SIA Ali, SI Abba Results in Engineering 10, 100228, 2021 | 78 | 2021 |
| A Novel Multi‑model Data‑Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development AG Usman, S Işik, SI Abba Chromatographia 83, 933–945, 2020 | 66 | 2020 |
| Hybrid machine learning ensemble techniques for modeling dissolved oxygen concentration SI Abba, NTT Linh, J Abdullahi, SIA Ali, QB Pham, RA Abdulkadir, ... IEEE Access 8, 157218-157237, 2020 | 63 | 2020 |
Abdullahi Garba Usman, Ph.DResearcher in Analytical chemistry and Operational research centre in Healthcare, Near East在 neu.edu.tr 的电子邮件经过验证
