متابعة
Mohamed Khalid AlOmar
Mohamed Khalid AlOmar
Department of Civil Engineering, College of Engineering, University of Al Maarif,
بريد إلكتروني تم التحقق منه على uoa.edu.iq
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Glycerol-based deep eutectic solvents: Physical properties
MK AlOmar, M Hayyan, MA Alsaadi, S Akib, A Hayyan, MA Hashim
Journal of Molecular Liquids 215, 98-103, 2016
4422016
Review on heavy metal adsorption processes by carbon nanotubes
SS Fiyadh, MA AlSaadi, WZ Jaafar, MK AlOmar, SS Fayaed, NS Mohd, ...
Journal of Cleaner Production 230, 783-793, 2019
4282019
Lead removal from water by choline chloride based deep eutectic solvents functionalized carbon nanotubes
MK AlOmar, MA Alsaadi, M Hayyan, S Akib, RK Ibrahim, MA Hashim
Journal of Molecular Liquids 222, 883-894, 2016
1292016
Allyl triphenyl phosphonium bromide based DES-functionalized carbon nanotubes for the removal of mercury from water
MK AlOmar, MA Alsaadi, M Hayyan, S Akib, M Ibrahim, MA Hashim
Chemosphere 167, 44-52, 2017
1282017
Functionalization of CNTs surface with phosphonuim based deep eutectic solvents for arsenic removal from water
MK AlOmar, MA Alsaadi, M Hayyan, S Akib, MA Hashim
Applied Surface Science 389, 216-226, 2016
1232016
Novel deep eutectic solvent-functionalized carbon nanotubes adsorbent for mercury removal from water
MK AlOmar, MA Alsaadi, TM Jassam, S Akib, MA Hashim
Journal of colloid and interface science 497, 413-421, 2017
1042017
Optimization of the synthesis of superhydrophobic carbon nanomaterials by chemical vapor deposition
MM Aljumaily, MA Alsaadi, R Das, SBA Hamid, NA Hashim, MK AlOmar, ...
Scientific reports 8 (1), 2778, 2018
962018
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
762020
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
662022
Deep eutectic solvents (DESs) as green extraction media of beneficial bioactive phytochemicals
AS Dheyab, MF Abu Bakar, M AlOmar, SF Sabran, AF Muhamad Hanafi, ...
Separations 8 (10), 176, 2021
632021
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
612021
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
572023
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
482021
A comprehensive review on modelling the adsorption process for heavy metal removal from water using artificial neural network technique
AES Seef Saadi Fiyadha, Saja Mohsen Alardhi, Mohamed Al Omar, Mustafa M ...
Heliyon, 2023
44*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
402020
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
382022
Computational investigation of the microstructural characteristics and physical properties of glycerol-based deep eutectic solvents
T Aissaoui, Y Benguerba, MK AlOmar, IM AlNashef
Journal of molecular modeling 23, 1-11, 2017
382017
The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach
SS Fiyadh, MA AlSaadi, MK AlOmar, SS Fayaed, AR Hama, S Bee, ...
Water Science and Technology 76 (9), 2413-2426, 2017
372017
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
352019
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
332022
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20