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 | 374 | 2019 |
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 | 33 | 2017 |
Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling SM Alardhi, SS Fiyadh, AD Salman, M Adelikhah Heliyon 9 (1), 2023 | 27 | 2023 |
Synthesis and characterization of natural extracted precursor date palm fibre-based activated carbon for aluminum removal by RSM optimization A O. Basheer, M M. Hanafiah, M Abdulhakim Alsaadi, Y Al-Douri, ... Processes 7 (5), 249, 2019 | 26 | 2019 |
Improving dam and reservoir operation rules using stochastic dynamic programming and artificial neural network integration model SS Fayaed, SS Fiyadh, WJ Khai, AN Ahmed, HA Afan, RK Ibrahim, ... Sustainability 11 (19), 5367, 2019 | 19 | 2019 |
A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique SS Fiyadh, SM Alardhi, M Al Omar, MM Aljumaily, MA Al Saadi, ... Heliyon 9 (4), 2023 | 18 | 2023 |
Artificial neural network approach for modelling of mercury ions removal from water using functionalized CNTs with deep eutectic solvent SS Fiyadh, MK AlOmar, WZ Binti Jaafar, MA AlSaadi, SS Fayaed, ... International journal of molecular sciences 20 (17), 4206, 2019 | 16 | 2019 |
BTPC-Based DES-Functionalized CNTs for Removal from Water: NARX Neural Network Approach SS Fiyadh, MA AlSaadi, MK AlOmar, SS Fayaed, FS Mjalli, A El-Shafie Journal of Environmental Engineering 144 (8), 04018070, 2018 | 16 | 2018 |
Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs RK Ibrahim, SS Fiyadh, MA AlSaadi, LS Hin, NS Mohd, S Ibrahim, ... Molecules 25 (7), 1511, 2020 | 15 | 2020 |
Arsenic removal from water using N, N-diethylethanolammonium chloride based DES-functionalized CNTs:(NARX) neural network approach SS Fiyadh, MA AlSaadi, MK AlOmar, SS Fayaed, A El-Shafie Journal of Water Supply: Research and Technology—AQUA 67 (6), 531-542, 2018 | 14 | 2018 |
Impact resistance performance of green construction material using light weight oil palm shells reinforced bamboo concrete slab ZC Muda, F Usman, S Beddu, MA Alam, S Thiruchelvam, LM Sidek, ... IOP Conference Series: Earth and Environmental Science 16 (1), 012063, 2013 | 12 | 2013 |
Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network … SS Fiyadh, MA AlSaadi, WZB Jaafar, MK AlOmar, SS Fayaed, AR Hama, ... Environmental Progress & Sustainable Energy, 2019 | 11 | 2019 |
Lead removal from water using DES functionalized CNTs: ANN modeling approach. SF Seef, MA Al-Saadi, MK AlOmar, SS Fayaed, A El-Shafie Desalination and Water Treatment 150, 105-113, 2019 | 8 | 2019 |
The modelling of arsenic removal from water by deep eutectic solvents functionalized CNTs: Artificial neural network (ANN) approach SS Fiyadh, MA AlSaadi, MK AlOmar, SS Fayaed, S Bee, A El-Shafie DESALINATION AND WATER TREATMENT 94, 189-197, 2017 | 3 | 2017 |
Corrigendum to “A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique”[Heliyon 9 (4 … SS Fiyadh, SM Alardhi, M Al Omar, MM Aljumaily, MA Al Saadi, ... Heliyon, 2023 | 1 | 2023 |
Artificial neural network and response surface methodology for modeling reverse osmosis process in wastewater treatment SM Alardhi, AD Salman, SJM Breig, AA Jaber, SS Fiyadh, FY AlJaberi, ... Journal of Industrial and Engineering Chemistry 133, 599-613, 2024 | | 2024 |
Removal of Heavy Metals from Water by Functionalized Carbon Nanotubes with Deep Eutectic Solvents: An Artificial Neural Network Approach SS Fiyadh PQDT-Global, 2019 | | 2019 |
The modelling of arsenic removal from water by deep eutectic solvents functionalized CNTs: Artificial neural network (ANN) approach SS Fiyadha, MA AlSaadia, MK AlOmarb, SS Fayaedd, S Beea, ... | | |
Prediction of Methyl Orange Dye (MO) Adsorption Using Activated Carbon with an Artificial Neural Network Software SM Alardhi, SS Fiyadh, A Dawood, M Adelikhah Available at SSRN 4232692, 0 | | |