S
S.M. Alizadeh
Researcher at Australian College of Kuwait
Publications - 47
Citations - 583
S.M. Alizadeh is an academic researcher from Australian College of Kuwait. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 4, co-authored 26 publications receiving 70 citations.
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Journal ArticleDOI
Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems
Zaoli Yang,Mojtaba Ghadamyari,Hossein Khorramdel,S.M. Alizadeh,Sasan Pirouzi,Muhammed Milani,Farzad Banihashemi,Noradin Ghadimi +7 more
TL;DR: Capacity of the method in extracting a robust IHS for sources and ESSs are validated depending on optimal economic and environmental conditions, and the scheme obtains a robust structure for the IHS.
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Simulation the adsorption capacity of polyvinyl alcohol/carboxymethyl cellulose based hydrogels towards methylene blue in aqueous solutions using cascade correlation neural network (CCNN) technique
Ali Hosin Alibak,Mohsen Khodarahmi,Pooya Fayyazsanavi,S.M. Alizadeh,Arkan Jasim Hadi,Elnaz Aminzadehsarikhanbeglou +5 more
TL;DR: In this paper , a cascade correlation neural network (CCNN) was employed to simulate the adsorption mechanism of methylene blue (MB) molecules by the bio-based (polyvinyl alcohol/carboxymethyl cellulose) hydrogel reinforced by graphene oxide nanoparticles and bentonite.
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Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness
Abdullah K. Alanazi,S.M. Alizadeh,K S Nurgalieva,Slavko Nesic,John William Grimaldo Guerrero,Hala M. Abo-Dief,Ehsan Eftekhari-Zadeh,Ehsan Nazemi,I. M. Narozhnyy +8 more
TL;DR: In this article , a dual-energy gamma source and two sodium iodide detectors were used with the help of artificial intelligence to determine the flow pattern and volume percentage in a two-phase flow by considering the thickness of the scale in the tested pipeline.
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Hazardous infectious waste collection and government aid distribution during COVID-19: A robust mathematical leader-follower model approach.
TL;DR: In this paper, a leader-follower approach for hazardous waste collection and government aid distribution to control COVID-19 pandemic was proposed, where government policies are designed to support people by distributing daily necessities and health supplies, and to support contractors by waste collection.
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Mathematical modeling and numerical simulation of CO2 capture using MDEA-based nanofluids in nanostructure membranes
Yan Cao,S.M. Alizadeh,Mohammad Taghi Fouladvand,Afrasyab Khan,Ali Taghvaie Nakhjiri,Zahra Heidari,Rasool Pelalak,Tonni Agustiono Kurniawan,Ahmad B. Albadarin +8 more
TL;DR: In this article, a numerical simulation as well as mechanistic modeling of gas separation using nanostructured polymeric membranes is reported, where nanoparticles of CNT (carbon nanotube) were incorporated into the solvent to prepare a nanofluid solvent for CO2 capture from a CO2+N2 gas mixture.