The roles of artificial intelligence techniques for increasing the prediction performance of important parameters and their optimization in membrane processes: A systematic review

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Vydané v:	Ecotoxicology and Environmental Safety Ročník 260; s. 115066
Hlavní autori:	Shuai Yuan, Hossein Ajam, Zainab Ali Bu Sinnah, Farag M. A. Altalbawy, Sabah Auda Abdul Ameer, Ahmed Husain, Zuhair I. Al Mashhadani, Ahmed Alkhayyat, Ali Alsalamy, Riham Ali Zubaid, Yan Cao
Médium:	Journal Article
Jazyk:	Japanese
Vydavateľské údaje:	Elsevier BV 01.07.2023
Predmet:	Active Learning in Machine Learning Research Advancements in Water Purification Technologies Aerodynamics Aerospace engineering Algorithms Artificial intelligence Artificial intelligence, CFD Biochemical engineering Biochemistry Chemistry Civil and Structural Engineering Computational fluid dynamics Computer science Computer Simulation Desalination Design and Management of Water Distribution Networks Engineering Environmental pollution Environmental Science Environmental sciences Fouling GE1-350 Hydrodynamics Membrane Membrane Distillation Membrane fouling Membrane processes Membrane Technology Model prediction Nanofiltration Optimization Physical Sciences Process engineering TD172-193.5 Transient Flow Analysis Water Purification Water Science and Technology
ISSN:	0147-6513
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