Detection and Severity Evaluation of Combined Rail Defects Using Deep Learning
| datacite.relatedItem.firstPage | 341 | |
| datacite.relatedItem.issue | 2 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2571-631X | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | Vibration | |
| datacite.relatedItem.volume | 4 | |
| dc.contributor.author | Jessada Sresakoolchai | |
| dc.contributor.author | Sakdirat Kaewunruen | |
| dc.date.accessioned | 2025-05-21T17:04:12Z | |
| dc.date.available | 2025-05-21T17:04:12Z | |
| dc.date.issued | 2021 | |
| dc.identifier.doi | https://doi.org/10.3390/vibration4020022 | |
| dc.identifier.other | jz000172-0022 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/35408 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 620 | |
| dc.title | Detection and Severity Evaluation of Combined Rail Defects Using Deep Learning | |
| dc.type | Article | |
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