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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Veröffentlicht in:Ecotoxicology and Environmental Safety Jg. 260; S. 115066
Hauptverfasser: 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
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: Elsevier BV 01.07.2023
Schlagworte:
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
Online-Zugang:Volltext
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ISSN:0147-6513
DOI:10.1016/j.ecoenv.2023.115066