Publications

Machine Learning-Driven Fault Identification and Classification: A Two-Step Approach for Industrial Applications

AuthID
P-018-GCN

Author(s)

Cacao, J

Santos, J

Antunes, M

Completo, A

Editor(s)

Solina,V;Longo,F;Romero,D

Document Type

Proceedings Paper

Year published

2025

Published

in Procedia Computer Science, ISSN: 1877-0509

Volume: 253, Pages: 1073-1082 (9)

Conference

6Th International Conference on Industry 4.0 and Smart Manufacturing, Ism 2024, Date: 13 November 2024 through 15 November 2024, Location: Prague

Indexing

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1016/j.procs.2025.01.169

Scopus: 2-s2.0-105000545167

Source Identifiers

ISSN: 1877-0509

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

Machine Learning-Driven Fault Identification and Classification: A Two-Step Approach for Industrial Applications

Useful Links

Get Help

Federated Authentication (Click on the image)

Machine Learning-Driven Fault Identification and Classification: A Two-Step Approach for Industrial Applications

Useful Links

Get Help