Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia M Hameed, SS Sharqi, ZM Yaseen, HA Afan, A Hussain, A Elshafie Neural Computing and Applications 28, 893-905, 2017 | 254 | 2017 |
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 | 209 | 2022 |
ANN based sediment prediction model utilizing different input scenarios HA Afan, A El-Shafie, ZM Yaseen, MM Hameed, WHM Wan Mohtar, ... Water resources management 29, 1231-1245, 2015 | 199 | 2015 |
RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia ZM Yaseen, A El-Shafie, HA Afan, M Hameed, WHMW Mohtar, A Hussain Neural Computing and Applications 27, 1533-1542, 2016 | 125 | 2016 |
Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model G Zhang, ZH Ali, MS Aldlemy, MH Mussa, SQ Salih, MM Hameed, ... Engineering with Computers 38 (Suppl 1), 15-28, 2022 | 110 | 2022 |
Global solar radiation prediction over North Dakota using air temperature: development of novel hybrid intelligence model H Tao, AA Ewees, AO Al-Sulttani, U Beyaztas, MM Hameed, SQ Salih, ... Energy Reports 7, 136-157, 2021 | 84 | 2021 |
Multi hours ahead prediction of surface ozone gas concentration: robust artificial intelligence approach MK AlOmar, MM Hameed, MA AlSaadi Atmospheric Pollution Research 11 (9), 1572-1587, 2020 | 68 | 2020 |
Prediction of high-strength concrete: high-order response surface methodology modeling approach MM Hameed, MK AlOmar, WJ Baniya, MA AlSaadi Engineering with Computers 38 (Suppl 2), 1655-1668, 2022 | 57 | 2022 |
An extra tree regression model for discharge coefficient prediction: novel, practical applications in the hydraulic sector and future research directions MM Hameed, MK AlOmar, F Khaleel, N Al-Ansari Mathematical problems in engineering 2021 (1), 7001710, 2021 | 50 | 2021 |
Incorporation of artificial neural network with principal component analysis and cross-validation technique to predict high-performance concrete compressive strength MM Hameed, MK AlOmar, WJ Baniya, MA AlSaadi Asian Journal of Civil Engineering 22, 1019-1031, 2021 | 46 | 2021 |
Short-, medium-, and long-term prediction of carbon dioxide emissions using wavelet-enhanced extreme learning machine MK AlOmar, MM Hameed, N Al-Ansari, SFM Razali, MA AlSaadi Civil Engineering Journal 9 (4), 815-834, 2023 | 38 | 2023 |
Data‐driven model for the prediction of total dissolved gas: Robust artificial intelligence approach MK AlOmar, MM Hameed, N Al-Ansari, MA AlSaadi Advances in Civil Engineering 2020 (1), 6618842, 2020 | 36 | 2020 |
Prediction of compressive strength of high-performance concrete: hybrid artificial intelligence technique MM Hameed, MK AlOmar International Conference on Applied Computing to Support Industry …, 2019 | 34 | 2019 |
Modification of poly (vinylidene fluoride-co-hexafluoropropylene) membranes with DES-functionalized carbon nanospheres for removal of methyl orange by membrane distillation MM Aljumaily, NS Ali, AE Mahdi, HM Alayan, M AlOmar, MM Hameed, ... Water 14 (9), 1396, 2022 | 33 | 2022 |
Application of artificial intelligence models for evapotranspiration prediction along the southern coast of Turkey MM Hameed, MK AlOmar, SF Mohd Razali, MA Kareem Khalaf, ... Complexity 2021 (1), 8850243, 2021 | 30 | 2021 |
Data-driven models for atmospheric air temperature forecasting at a continental climate region MK Alomar, F Khaleel, MM Aljumaily, A Masood, SFM Razali, MA AlSaadi, ... PLoS One 17 (11), e0277079, 2022 | 25 | 2022 |
Predicting compressive strength of concrete containing industrial waste materials: novel and hybrid machine learning model MM Hameed, MA Abed, N Al-Ansari, MK Alomar Advances in Civil Engineering 2022 (1), 5586737, 2022 | 24 | 2022 |
Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study MM Hameed, MK AlOmar, AAA Al-Saadi, MA AlSaadi Stochastic Environmental Research and Risk Assessment 36 (12), 4201-4221, 2022 | 17 | 2022 |
Hybridized deep learning model for perfobond rib shear strength connector prediction JA Khalaf, AA Majeed, MS Aldlemy, ZH Ali, AW Al Zand, S Adarsh, ... Complexity 2021 (1), 6611885, 2021 | 17 | 2021 |
Optimising the selection of input variables to increase the predicting accuracy of shear strength for deep beams MM Hameed, F Khaleel, MK AlOmar, SF Mohd Razali, MA AlSaadi Complexity 2022 (1), 6532763, 2022 | 12 | 2022 |