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Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach
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| Published in: | International Journal of Disaster Risk Science |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1864030189751631880 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Disaster Risk Science |
| description | |
| discipline_display | Social Sciences |
| discipline_facet | Social Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:14282 |
| institution | FRELIP |
| journal_source_facet | International Journal of Disaster Risk Science |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach — — — — — Management Sociology Social Sciences |
| sub_discipline_display | Sociology |
| sub_discipline_facet | Sociology |
| subject_display | — — — — — Management Sociology Social Sciences — — — — — Management Sociology Social Sciences |
| subject_facet | — — — — — Management Sociology Social Sciences |
| title | Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach |
| title_auth | Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach |
| title_full | Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach |
| title_fullStr | Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach |
| title_full_unstemmed | Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach |
| title_short | Rapid Assessment of Severely Affected Earthquake Areas Using Mobile Signaling Data and a Random Forest Approach |
| title_sort | rapid assessment of severely affected earthquake areas using mobile signaling data and a random forest approach |
| topic | — — — — — Management Sociology Social Sciences |
| url | https://link.springer.com/article/10.1007/s13753-025-00684-9 |