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| Published in: | Discover AI |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1864030193134338052 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover AI |
| description | |
| discipline_display | Education |
| discipline_facet | Education |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:46948 |
| institution | FRELIP |
| journal_source_facet | Discover AI |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Deep learning–based intelligent system for railway track monitoring and fault detection — — — — — Access Artificial Intelligence and Machine Learning Higher Education Education |
| sub_discipline_display | Higher Education |
| sub_discipline_facet | Higher Education |
| subject_display | — — — — — Access Artificial Intelligence and Machine Learning Higher Education Education — — — — — Access Artificial Intelligence and Machine Learning Higher Education Education |
| subject_facet | — — — — — Access Artificial Intelligence and Machine Learning Higher Education Education |
| title | Deep learning–based intelligent system for railway track monitoring and fault detection |
| title_auth | Deep learning–based intelligent system for railway track monitoring and fault detection |
| title_full | Deep learning–based intelligent system for railway track monitoring and fault detection |
| title_fullStr | Deep learning–based intelligent system for railway track monitoring and fault detection |
| title_full_unstemmed | Deep learning–based intelligent system for railway track monitoring and fault detection |
| title_short | Deep learning–based intelligent system for railway track monitoring and fault detection |
| title_sort | deep learning–based intelligent system for railway track monitoring and fault detection |
| topic | — — — — — Access Artificial Intelligence and Machine Learning Higher Education Education |
| url | https://link.springer.com/article/10.1007/s44163-026-01298-w |