Theo dơi
Mustafa Al-Mukhtar (ORCID: 0000-0002-8850-0899)
Mustafa Al-Mukhtar (ORCID: 0000-0002-8850-0899)
Tên khácMustafa M Al-Mukhtar
University of Technology- Iraq (ROR 01w1ehb86)
Email được xác minh tại
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
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
Modeling water quality parameters using data-driven models, a case study Abu-Ziriq marsh in south of Iraq
M Al-Mukhtar, F Al-Yaseen
Hydrology 6 (1), 24, 2019
Proposition of new ensemble data-intelligence models for surface water quality prediction
AO Al-Sulttani, M Al-Mukhtar, AB Roomi, AA Farooque, KM Khedher, ...
IEEE Access 9, 108527-108541, 2021
Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad
M Al-Mukhtar
Environmental monitoring and assessment 191 (11), 673, 2019
Future predictions of precipitation and temperature in Iraq using the statistical downscaling model
M Al-Mukhtar, M Qasim
Arabian Journal of Geosciences, 2019
Assessing the impacts of climate change on hydrology of the upper reach of the spree river: Germany
M Al-Mukhtar, V Dunger, B Merkel
Water resources management 28, 2731-2749, 2014
Modeling the monthly pan evaporation rates using artificial intelligence methods: a case study in Iraq
M Al-Mukhtar
Environmental Earth Sciences 80 (1), 39, 2021
Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models
SK Bhagat, M Paramasivan, M Al-Mukhtar, T Tiyasha, K Pyrgaki, TM Tung, ...
Environmental Science and Pollution Research 28, 31670-31688, 2021
Modeling of pan evaporation based on the development of machine learning methods
M Al-Mukhtar
Theoretical and Applied Climatology 146 (3), 961-979, 2021
Modelling the root zone soil moisture using artificial neural networks, a case study
M Al-Mukhtar
Environmental Earth Sciences 75 (15), 1124, 2016
Runoff and sediment yield modeling by means of WEPP in the Bautzen dam catchment, Germany
M Al-Mukhtar, V Dunger, B Merkel
Environmental earth sciences 72 (6), 2051-2063, 2014
Evaluation of the climate generator model CLIGEN for rainfall data simulation in Bautzen catchment area, Germany
M Al-Mukhtar, V Dunger, B Merkel
Hydrology Research 45 (4-5), 615-630, 2014
Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment
A Elbeltagi, M Al-Mukhtar, NL Kushwaha, N Al-Ansari, DK Vishwakarma
Applied Water Science 13 (2), 42, 2023
Modelling of future water use scenarios using WEAP model: a case study in Baghdad City, Iraq
MM Al-Mukhtar, GS Mutar
Eng. Technol. J 39, 488-503, 2021
Monitoring and Modelling Morphological Changes in Rivers Using RS and GIS Techniques
ZD Abbass, JS Maatooq, MM Al-Mukhtar
Civil Engineering Journal 9 (3), 531-543, 2023
Performance of SWAT Model for Long-Term Runoff Simulation within Al-Adhaim Watershed, Iraq
MS Al-Khafaji, M Al-Mukhtar, A Mohena
Int. J. Sci. Eng. Res 8, 1510, 2017
Implementing Management Practices for Enhancing Water-Food Nexus Under Climate Change
N Sabah, M Al-Mukhtar, K Shemal
Civil Engineering Journal 9 (12), 3108-3122, 2023
Derivation of optimal two dimensional rule curve for dualistic reservoir water-Supply system
N Khalaf, T Shareef, M Al-Mukhtar
Civil Engineering Journal 9 (7), 1779-1794, 2023
Assessing CFSR climate data for rainfall-runoff modeling over an ungauged basin between Iraq and Iran
O Al-Kakey, M Al-Mukhtar, S Berhanu, V Dunger
Kuwait Journal of Science 50 (3), 405-414, 2023
Assessment of future climate change impacts on water resources of Khabour River catchment, north of Iraq
L Haitham, M Al-Mukhtar
Engineering and Technology Journal 40 (05), 695-709, 2022
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