TY - JOUR
T1 - Application of artificial intelligence techniques in textile wastewater decolorisation fields
T2 - A systematic and citation network analysis review
AU - Liu, Senbiao
AU - Lo, Chris K.Y.
AU - Kan, Chi wai
N1 - Funding Information:
This work was financially supported by The Hong Kong Polytechnic University (account code: ZJM8).
Publisher Copyright:
© 2021 Society of Dyers and Colourists
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85126466502&partnerID=8YFLogxK
U2 - 10.1111/cote.12589
DO - 10.1111/cote.12589
M3 - Review article
AN - SCOPUS:85126466502
SN - 1472-3581
VL - 138
SP - 117
EP - 136
JO - Coloration Technology
JF - Coloration Technology
IS - 2
ER -