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Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms
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| Published in: | Wind Energy Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1864030192966565894 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Wind Energy Science |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:22550 |
| institution | FRELIP |
| journal_source_facet | Wind Energy Science |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| sub_discipline_display | Petroleum & Energy |
| sub_discipline_facet | Petroleum & Energy |
| subject_display | — — — — — Renewal Energy Petroleum & Energy Engineering & Technology — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| subject_facet | — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| title | Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms |
| title_auth | Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms |
| title_full | Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms |
| title_fullStr | Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms |
| title_full_unstemmed | Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms |
| title_short | Machine Learning Framework for Scour Detection Across Multiple Offshore Wind Farms |
| title_sort | machine learning framework for scour detection across multiple offshore wind farms |
| topic | — — — — — Renewal Energy Petroleum & Energy Engineering & Technology |
| url | https://doi.org/10.5194/wes-2026-70 |