Supplementary Video for "Real-time Web Tension Anomaly Detection in Roll-to-Roll Manufacturing Systems using Hybrid Sequential Modeling and Digital Twin Integration"
Published: 19 August 2026| Version 1 | DOI: 10.17632/pjc9y5y4mt.1
Contributors:
Qasim Shahzad, , Description
Real-Time Operation of the Proposed R2R DT-Based Anomaly Detection System
Files
Institutions
- Korea University of Science and TechnologyDaejeon, Daejeon
Categories
Machine Learning, Printing, Advanced Manufacturing, Digital Twin Technology
Funders
- Korea Institute of Machinery and MaterialsGrant ID: NK261F
- National Research Council of Science and Technology (NST)Grant ID: GTL24013-000
- Ministry of Trade, Industry and Energy (MOTIE) of the republic of KoreaGrant ID: RS-2025-25452839 & RS-2024-00507607