Prati
Mohammed Falah Allawi
Mohammed Falah Allawi
University of Anbar
Potvrđena adresa e-pošte na uoanbar.edu.iq
Naslov
Citirano
Citirano
Godina
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
2692022
Non-tuned machine learning approach for hydrological time series forecasting
ZM Yaseen, MF Allawi, AA Yousif, O Jaafar, FM Hamzah, A El-Shafie
Neural Computing and Applications 30, 1479-1491, 2018
1112018
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
ZM Yaseen, MF Allawi, H Karami, M Ehteram, S Farzin, AN Ahmed, ...
Neural Computing and Applications 31, 8807-8821, 2019
1012019
Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models
MF Allawi, O Jaafar, F Mohamad Hamzah, SMS Abdullah, A El-Shafie
Environmental Science and Pollution Research 25, 13446-13469, 2018
802018
Input attributes optimization using the feasibility of genetic nature inspired algorithm: application of river flow forecasting
HA Afan, MF Allawi, A El-Shafie, ZM Yaseen, AN Ahmed, MA Malek, ...
Scientific Reports 10 (1), 4684, 2020
762020
RBFNN-based model for heavy metal prediction for different climatic and pollution conditions
A Elzwayie, A El-Shafie, ZM Yaseen, HA Afan, MF Allawi
Neural Computing and Applications 28, 1991-2003, 2017
712017
Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art
A Elzwayie, HA Afan, MF Allawi, A El-Shafie
Environmental Science and Pollution Research 24, 12104-12117, 2017
682017
Flood routing in river reaches using a three-parameter Muskingum model coupled with an improved bat algorithm
S Farzin, VP Singh, H Karami, N Farahani, M Ehteram, O Kisi, MF Allawi, ...
Water 10 (9), 1130, 2018
632018
Assessing the predictability of an improved ANFIS model for monthly streamflow using lagged climate indices as predictors
M Ehteram, HA Afan, M Dianatikhah, AN Ahmed, C Ming Fai, MS Hossain, ...
Water 11 (6), 1130, 2019
582019
Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt
SQ Salih, MF Allawi, AA Yousif, AM Armanuos, MK Saggi, M Ali, S Shahid, ...
Engineering Applications of Computational Fluid Mechanics 13 (1), 878-891, 2019
582019
Utilizing RBF-NN and ANFIS methods for multi-lead ahead prediction model of evaporation from reservoir
MF Allawi, A El-Shafie
Water Resources Management 30, 4773-4788, 2016
582016
Optimized river stream-flow forecasting model utilizing high-order response surface method
B Keshtegar, MF Allawi, HA Afan, A El-Shafie
Water Resources Management 30, 3899-3914, 2016
572016
RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW)
AN Ahmed, CWM Noor, MF Allawi, A El-Shafie
Neural computing and applications 29, 889-899, 2018
552018
Optimization of chain-reservoirs’ operation with a new approach in artificial intelligence
M Ehteram, MF Allawi, H Karami, SF Mousavi, M Emami, A El-Shafie, ...
Water Resources Management 31, 2085-2104, 2017
552017
Synchronizing artificial intelligence models for operating the dam and reservoir system
MF Allawi, O Jaafar, M Ehteram, F Mohamad Hamzah, A El-Shafie
Water Resources Management 32, 3373-3389, 2018
482018
Reservoir evaporation prediction modeling based on artificial intelligence methods
MF Allawi, F Binti Othman, HA Afan, AN Ahmed, MS Hossain, CM Fai, ...
Water 11 (6), 1226, 2019
452019
Artificial intelligence and geo-statistical models for stream-flow forecasting in ungauged stations: state of the art
N Valizadeh, M Mirzaei, MF Allawi, HA Afan, NS Mohd, A Hussain, ...
Natural Hazards 86, 1377-1392, 2017
422017
Novel reservoir system simulation procedure for gap minimization between water supply and demand
MF Allawi, O Jaafar, FM Hamzah, A El-Shafie
Journal of Cleaner Production 206, 928-943, 2019
412019
Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
MF Allawi, O Jaafar, FM Hamzah, SB Koting, NSB Mohd, A El-Shafie
Knowledge-Based Systems 163, 907-926, 2019
402019
Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment
QA Aljanabi, Z Chik, MF Allawi, AH El-Shafie, AN Ahmed, A El-Shafie
Neural Computing and Applications 30, 2459-2469, 2018
382018
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