paper
2022
Extremes & hazards
Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2022-11-28
008
Nov 2022
Nikita O. Dorodnykh, Olga Anatolievna Nikolaychuk, Julia Pestova et al.
Вычислительные технологии
Case-based expert system predicts forest fire risk in the Irkutsk region from 2017–2020 fire records, weather and remote sensing data, with a web-service prototype.
Using a case-based approach to predict the risk of forest fires
In one sentence. Case-based expert system predicts forest fire risk in the Irkutsk region from 2017–2020 fire records, weather and remote sensing data, with a web-service prototype.
Labels
- Topic
- Extremes & hazards
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Satellite, Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.25743/ict.2022.27.5.005 OpenAlex:W4310075514
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.