Unsupervised Data-Driven Tool For Track Support Conditions Assessment–First Results

AuthID
 P-019-W73
5
Author(s)
Morais, J
·
Fortunato, EC
·
Ribeiro, DRF
·
Mendes, JG
Document Type
Proceedings Paper
Year published
2024
Published
in World Congress in Computational Mechanics and ECCOMAS Congress, ISSN: 2696-6999
Conference
9Th European Congress on Computational Methods in Applied Sciences and Engineering, Eccomas 2024, Location: Lisbon
Indexing
Scopus®
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Publication Identifiers
Scopus: 2-s2.0-105012425098
Source Identifiers
ISSN: 2696-6999
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