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Adnan Noureldeen Muhammad
Adnan Noureldeen Muhammad
Researcher- South Valley University
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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
2532020
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
1882019
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
1682021
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
972021
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
912021
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
812019
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
742021
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
732021
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
722017
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
702022
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
662019
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
652023
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
652017
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
622022
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
582018
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
572023
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
562021
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
552017
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
502019
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
472018
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