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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Vydáno v:Ecotoxicology and Environmental Safety Ročník 260; s. 115066
Hlavní autoři: 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:japonština
Vydáno: Elsevier BV 01.07.2023
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ISSN:0147-6513
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Author Sabah Auda Abdul Ameer
Zuhair I. Al Mashhadani
Riham Ali Zubaid
Ahmed Husain
Ahmed Alkhayyat
Hossein Ajam
Yan Cao
Ali Alsalamy
Zainab Ali Bu Sinnah
Farag M. A. Altalbawy
Shuai Yuan
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StartPage 115066
SubjectTerms 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
Title 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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