MLEWS: a series of software systems to implement machine learning for geo-hazards risk early warning based on meteorological factors
Sudden and frequent geo-hazards pose serious threats to life and property, highlighting the need for an integrated, multi-disciplinary early warning system (EWS). However, incorporating big data and machine learning into traditional EWSs brings challenges such as complex model structures, inefficien...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Taylor & Francis Group
2026-12-01
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| Col·lecció: | Geomatics, Natural Hazards & Risk |
| Matèries: | |
| Accés en línia: | https://www.tandfonline.com/doi/10.1080/19475705.2026.2616640 |
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