Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs RM Adnan, Z Liang, S Heddam, M Zounemat-Kermani, O Kisi, B Li Journal of Hydrology 586, 124371, 2020 | 253 | 2020 |
Daily streamflow prediction using optimally pruned extreme learning machine RM Adnan, Z Liang, S Trajkovic, M Zounemat-Kermani, B Li, O Kisi Journal of Hydrology 577, 123981, 2019 | 188 | 2019 |
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization RM Adnan, RR Mostafa, O Kisi, ZM Yaseen, S Shahid, ... Knowledge-Based Systems 230, 107379, 2021 | 168 | 2021 |
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model RM Adnan, A Petroselli, S Heddam, CAG Santos, O Kisi Stochastic Environmental Research and Risk Assessment 35 (3), 597-616, 2021 | 97 | 2021 |
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms RM Adnan, RR Mostafa, ARMT Islam, O Kisi, A Kuriqi, S Heddam Computers and Electronics in Agriculture 191, 106541, 2021 | 91 | 2021 |
Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs RM Adnan, A Malik, A Kumar, KS Parmar, O Kisi Arabian Journal of Geosciences 12, 1-14, 2019 | 81 | 2019 |
Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data RM Adnan, Z Liang, KS Parmar, K Soni, O Kisi Neural Computing and Applications 33, 2853-2871, 2021 | 74 | 2021 |
Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach RM Adnan, A Petroselli, S Heddam, CAG Santos, O Kisi Natural Hazards 105, 2987-3011, 2021 | 73 | 2021 |
Streamflow forecasting using artificial neural network and support vector machine models RM Adnan, X Yuan, O Kisi, Y Yuan American Scientific Research Journal for Engineering, Technology, and …, 2017 | 72 | 2017 |
Development of new machine learning model for streamflow prediction: Case studies in Pakistan RM Adnan, RR Mostafa, A Elbeltagi, ZM Yaseen, S Shahid, O Kisi Stochastic Environmental Research and Risk Assessment, 1-35, 2022 | 70 | 2022 |
Prediction of suspended sediment load using data-driven models RM Adnan, Z Liang, A El-Shafie, M Zounemat-Kermani, O Kisi Water 11 (10), 2060, 2019 | 66 | 2019 |
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data RM Adnan, RR Mostafa, HL Dai, S Heddam, A Kuriqi, O Kisi Engineering Applications of Computational Fluid Mechanics 17 (1), 2192258, 2023 | 65 | 2023 |
Snowmelt Runoff Modelling under Projected Climate Change Patterns in the Gilgit River Basin of Northern Pakistan. M Adnan, G Nabi, S Kang, G Zhang, RM Adnan, MN Anjum, M Iqbal, ... Polish Journal of Environmental Studies 26 (2), 2017 | 65 | 2017 |
The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction RM Adnan, O Kisi, RR Mostafa, AN Ahmed, A El-Shafie Hydrological Sciences Journal 67 (2), 161-174, 2022 | 62 | 2022 |
Stream flow forecasting of poorly gauged mountainous watershed by least square support vector machine, fuzzy genetic algorithm and M5 model tree using climatic data from nearby … RM Adnan, X Yuan, O Kisi, M Adnan, A Mehmood Water Resources Management 32, 4469-4486, 2018 | 58 | 2018 |
Modeling potential evapotranspiration by improved machine learning methods using limited climatic data RR Mostafa, O Kisi, RM Adnan, T Sadeghifar, A Kuriqi Water 15 (3), 486, 2023 | 57 | 2023 |
Improving drought modeling using hybrid random vector functional link methods RM Adnan, RR Mostafa, ARMT Islam, AD Gorgij, A Kuriqi, O Kisi Water 13 (23), 3379, 2021 | 56 | 2021 |
Improving accuracy of river flow forecasting using LSSVR with gravitational search algorithm RM Adnan, X Yuan, O Kisi, R Anam Advances in Meteorology 2017 (1), 2391621, 2017 | 55 | 2017 |
Comparison of LSSVR, M5RT, NF-GP, and NF-SC models for predictions of hourly wind speed and wind power based on cross-validation RM Adnan, Z Liang, X Yuan, O Kisi, M Akhlaq, B Li Energies 12 (2), 329, 2019 | 50 | 2019 |
Three different adaptive neuro fuzzy computing techniques for forecasting long-period daily streamflows O Kisi, J Shiri, S Karimi, RM Adnan Big data in engineering applications, 303-321, 2018 | 47 | 2018 |