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Seef Saadi Fiyadh
Researcher at University of Malaya
Publications - 14
Citations - 406
Seef Saadi Fiyadh is an academic researcher from University of Malaya. The author has contributed to research in topics: Adsorption & Catalysis. The author has an hindex of 7, co-authored 11 publications receiving 221 citations.
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Journal ArticleDOI
Review on heavy metal adsorption processes by carbon nanotubes
Seef Saadi Fiyadh,Mohammed Abdulhakim Alsaadi,Wan Zurina Wan Jaafar,Mohamed Khalid AlOmar,Sabah Saadi Fayaed,Nuruol Syuhadaa Mohd,Lai Sai Hin,Ahmed El-Shafie +7 more
TL;DR: In this article, the authors highlight up-to-date methods for the removal of heavy metals from water using the technique of adsorption, focusing on one particular technique, involving carbon nanotubes (CNTs).
Journal ArticleDOI
The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach
Seef Saadi Fiyadh,Mohammed Abdulhakim Alsaadi,Mohamed Khalid AlOmar,Sabah Saadi Fayaed,Ako R. Hama,Sharifah Bee,Ahmed El-Shafie +6 more
TL;DR: The ANN model of lead removal was subjected to accuracy determination and the results showed R2 of 0.9956 with MSE of 1.66 × 10-4 for the feed-forward back-propagation and layer recurrent neural network model.
Journal ArticleDOI
Synthesis and Characterization of Natural Extracted Precursor Date Palm Fibre-Based Activated Carbon for Aluminum Removal by RSM Optimization
Alfarooq O. Basheer,Marlia Mohd Hanafiah,Mohammed Abdulhakim Alsaadi,Mohammed Abdulhakim Alsaadi,Yarub Al-Douri,Yarub Al-Douri,Marlinda Abdul Malek,Mustafa Mohammed Aljumaily,Seef Saadi Fiyadh +8 more
TL;DR: In this article, the powder-activated carbon (PAC) under optimum conditions from a new low-cost precursor Date Palm Fibre (DPF) biomass through a carbonization followed by KOH activation has been synthesized by response surface methodology (RSM) combined with central composite design (CCD).
Journal ArticleDOI
Improving dam and reservoir operation rules using stochastic dynamic programming and artificial neural network integration model
Sabah Saadi Fayaed,Seef Saadi Fiyadh,Wong Jee Khai,Ali Najah Ahmed,Haitham Abdulmohsin Afan,Rusul Khaleel Ibrahim,Chow Ming Fai,Suhana Koting,Nuruol Syuhadaa Mohd,Wan Zurina Binti Jaafar,Lai Sai Hin,Ahmed El-Shafie +11 more
TL;DR: A comparison of the models shows that the proposed Model 2 increased the reliability and resilience of the system by 7.5% and 6.3%, respectively, while the proposed SDP-ANN model demonstrated greater resilience and reliability with a lower supply deficit.
Journal ArticleDOI
BTPC-Based DES-Functionalized CNTs for As3+ Removal from Water: NARX Neural Network Approach
Seef Saadi Fiyadh,Mohammed Abdulhakim Alsaadi,Mohamed Khalid AlOmar,Sabah Saadi Fayaed,Farouq S. Mjalli,Ahmed El-Shafie +5 more
TL;DR: In this paper, a novel adsorbent process was developed using a deep eutectic solvent (DES) system based on benzyltriphenylphosphonium chloride (BTPC) as a functionalization agent of carbon dioxide.