| Titre : |
Application of artificial intelligence techniques in textile wastewater decolorisation fields : A systematic and citation network analysis review |
| Type de document : |
texte imprimé |
| Auteurs : |
Senbiao Liu, Auteur ; Chris K. Y. Lo, Auteur ; Chi-Wai Kan, Auteur |
| Année de publication : |
2022 |
| Article en page(s) : |
p. 117-136 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Catégories : |
Comptage
Décoloration
Eaux usées -- Décontamination
Eaux usées -- Epuration
Intelligence artificielle
Publications scientifiques
Réseaux neuronaux (informatique)
|
| Index. décimale : |
667.3 Teinture et impression des tissus |
| Résumé : |
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. |
| Note de contenu : |
- METHODOLOGY
- DESCRIPTIVE STATISTICS : Distribution of articles by journal - Distribution of articles by year of publication - Distribution of articles by region
- Distribution of methodologies used in textile coloration-related fields - Research fields while using artificial intelligence techniques
- CLASSIFICATION OF RESEARCH DOMAINS
- MAIN PATH ANALYSIS OF THE MAJOR RESEARCH DOMAINS
- FUTURE DEVELOPMENT
- LIMITATIONS |
| DOI : |
https://doi.org/10.1111/cote.12589 |
| En ligne : |
https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12589 |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=37843 |
in COLORATION TECHNOLOGY > Vol. 138, N° 2 (04/2022) . - p. 117-136
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