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AI Powered Anomaly Detection and IoT Automation for Improving Textile Manufacturing Quality Management and Productivity Levels Cover

AI Powered Anomaly Detection and IoT Automation for Improving Textile Manufacturing Quality Management and Productivity Levels

Fibres & Textiles in Eastern Europe
Volume 34 (2026): Issue 1 (February 2026)
By: ,  ,   and    
Open Access
|Jun 2026
Articles in this issue
DOI: https://doi.org/10.2478/ftee-2026-0005 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
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Language: English
Page range: 49 - 63
Published on: Jun 11, 2026
Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
IoT-driven monitoring,
Smart textile manufacturing,
Quality control,
AI anomaly detection,
Digital twin,
Industry 4.0 automation
Related subjects:
Business and economics,
Business management,
Business informatics,
Process management,
Industrial chemistry,
Cellulose, paper and textiles,
Polymer science and technology,
Materials sciences,
Biomaterials and natural materials

© 2026 S. Jayaraman, Kishore Kunal, Vairavel Madeshwaren, M. Kathiravan, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 34 (2026): Issue 1 (February 2026)
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