Application of artificial intelligence techniques in textile wastewater decolorisation fields: A systematic and citation network analysis review

This study reviewed 155 journal articles to examine how artificial intelligence techniques are being applied in textile coloration and related fields. Distribution of the reviewed articles was assessed in terms of the type of journals, year of publication, methods, and research background. Based on...

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Bibliographic Details
Published in:Coloration technology 2022-04, Vol.138 (2), p.117-136
Main Authors: Liu, Senbiao, Lo, Chris K. Y., Kan, Chi‐wai
Format: Article
Language:English
Subjects:
Artificial intelligence
Artificial neural networks
Citation analysis
Color fading
Decoloring
Dyes
Network analysis
Wastewater treatment
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Summary:This study reviewed 155 journal articles to examine how artificial intelligence techniques are being applied in textile coloration and related fields. Distribution of the reviewed articles was assessed in terms of the type of journals, year of publication, methods, and research background. Based on the citation network analysis method, an objective approach, CitNetExplorer and VOSviewer are used to identify the clusters. It is found that artificial intelligence techniques are mainly three‐layer artificial neural networks with different designs, which are mainly used in textile wastewater decolorisation fields, including wastewater treatment and colour fading, such as colour prediction and real‐time monitoring of textile wastewater, dye removal efficiency, and dye degradation. Finally, the future research direction and limitations of this article are put forward.
ISSN:1472-3581
1478-4408
DOI:10.1111/cote.12589