| River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques SI Abba, SJ Hadi, J Abdullahi Procedia computer science 120, 75-82, 2017 | 136 | 2017 |
| Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements V Nourani, G Elkiran, J Abdullahi Journal of Hydrology 577, 123958, 2019 | 120 | 2019 |
| 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 | 88 | 2018 |
| Multi-step ahead modeling of reference evapotranspiration using a multi-model approach V Nourani, G Elkiran, J Abdullahi Journal of Hydrology 581, 124434, 2020 | 69 | 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 | 62 | 2020 |
| Multi-region modeling of daily global solar radiation with artificial intelligence ensemble V Nourani, G Elkiran, J Abdullahi, A Tahsin Natural Resources Research 28, 1217-1238, 2019 | 53 | 2019 |
| Prediction of the future impact of climate change on reference evapotranspiration in Cyprus using artificial neural network J Abdullahi, G Elkiran Procedia computer science 120, 276-283, 2017 | 44 | 2017 |
| New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia MS Manzar, M Benaafi, R Costache, O Alagha, ND Mu'azu, M Zubair, ... Ecological Informatics 70, 101696, 2022 | 33 | 2022 |
| Application of artificial neural network to predict reference evapotranspiration in Famagusta, North Cyprus J Abdullahi, G Elkiran, V Nourani 11th international scientific conference on Production Engineering …, 2017 | 18 | 2017 |
| Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa Z Ibrahim, P Tulay, J Abdullahi Environmental Science and Pollution Research 30 (2), 3621-3643, 2023 | 17 | 2023 |
| Impact of climate change on hydro-climatological parameters in North Cyprus: application of artificial intelligence-based statistical downscaling models G Elkiran, V Nourani, O Elvis, J Abdullahi Journal of Hydroinformatics 23 (6), 1395-1415, 2021 | 12 | 2021 |
| Feasibility of artificial intelligence and CROPWAT models in the estimation of uncertain combined variable using nonlinear sensitivity analysis J Abdullahi, A Rotimi, SI Malami, HB Jibrin, A Tahsin, SI Abba 2021 1st International Conference on Multidisciplinary Engineering and …, 2021 | 8 | 2021 |
| Compatibility of hybrid neuro-fuzzy model to predict reference evapotranspiration in distinct climate stations J Abdullahi, G Elkiran, SI Malami, A Rotimi, SI Haruna, SI Abba 2021 1st International Conference on Multidisciplinary Engineering and …, 2021 | 7 | 2021 |
| Artificial intelligence based and linear conventional techniques for reference evapotranspiration modeling J Abdullahi, G Elkiran, V Nourani 10th International Conference on Theory and Application of Soft Computing …, 2020 | 7 | 2020 |
| Multi-state comparison of machine learning techniques in modelling reference evapotranspiration: A case study of Northeastern Nigeria A Tahsin, J Abdullahi, A Rotimi, FH Anwar, SI Malami, SI Abba 2021 1st International Conference on Multidisciplinary Engineering and …, 2021 | 5 | 2021 |
| Application of artificial intelligence based and multiple regression techniques for monthly precipitation modeling in coastal and inland stations J Abdullahi, A Iravanian, V Nourani, G Elkiran Desalin. Water Treat 177, 338-349, 2019 | 5 | 2019 |
| Monthly prediction of reference evapotranspiration in northcentral Nigeria using artificial intelligence tools: a comparative study J Abdullahi, G Elkiran International Conference on Theory and Application of Soft Computing …, 2021 | 3 | 2021 |
| Virtual water trade in the semi-arid regions of Nigeria J Abdullahi, G Elkiran, F Aslanova IOP Conference Series: Earth and Environmental Science 614 (1), 012074, 2020 | 3 | 2020 |
| Data-driven techniques for monthly pan evaporation modeling in Iraq A Tahsin Eurasian Journal of Science & Engineering 6 (1), 104-120, 2020 | 3 | 2020 |
| Reference evapotranspiration modeling using heuristic computing model in distinct climate stations A Tahsin Eurasian Journal of Science & Engineering 6 (1), 89-103, 2020 | 2 | 2020 |
Gözen ElkıranAssociate Professor Dr., Near East UniversityVerified email at neu.edu.tr
