WMSDsNet: A Deep Learning Framework for Real-Time Ergonomic Risk Prediction in Human-Robot Collaboration in Disassembly

Marziyeh Mirzahosseininejad, Morteza Jalali Alenjareghi, Firdaous Sekkay and Samira Keivanpour

Paper (2025)

An external link is available for this item

Department:	Department of Mathematics and Industrial Engineering
ISBN:	9798331521646
PolyPublie URL:	https://publications.polymtl.ca/68829/
Conference Title:	5th International Conference on Human-Machine Systems (ICHMS 2025)
Conference Location:	Abu Dhabi, United Arab Emirates
Conference Date(s):	2025-05-26 - 2025-05-28
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/ichms65439.2025.11154230
Official URL:	https://doi.org/10.1109/ichms65439.2025.11154230
Date Deposited:	24 Sep 2025 16:31
Last Modified:	24 Sep 2025 16:31

Cite in APA 7:	Mirzahosseininejad, M., Jalali Alenjareghi, M., Sekkay, F., & Keivanpour, S. (2025, May). WMSDsNet: A Deep Learning Framework for Real-Time Ergonomic Risk Prediction in Human-Robot Collaboration in Disassembly [Paper]. 5th International Conference on Human-Machine Systems (ICHMS 2025), Abu Dhabi, United Arab Emirates. https://doi.org/10.1109/ichms65439.2025.11154230
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only