Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework
arXiv 2610.30170v1•eac8b7829f1154d20b13a1060d5c3580e4e1282676cdcdfc3bf86f4302a20095
Paper metadata
- arXiv ID
- 2610.30170
- Version
- v1
- Category
- cs.AI
- Authors
- Hager Radi Abdelwahed, Toluwaleke Olutayo, Chirag Goel, Jana Osea, Aldo Zaimi, Tom Swystun, Sandy Erni, Francisco Emiliano Lopez Saavedra, Yan Boulanger, Ga\'etan Marceau Caron
- Publication date
- 2026-10-23T04:00:00Z
- Source identifier
- 2610.30170v1
- Public record ID
- record:sha256:eac8b7829f1154d20b13a1060d5c3580e4e1282676cdcdfc3bf86f4302a20095
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
This is source-provided metadata, not an enriched summary or an impact assessment. Follow the canonical source link for the published material.
Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- eac8b7829f1154d20b13a1060d5c3580e4e1282676cdcdfc3bf86f4302a20095
- Record type
- Source metadata
This record may overlap with other records. Source metadata can be incomplete or change. Validate consequential decisions against the linked source and your own environment.