Wildfire susceptibility mapping using two empowered machine learning algorithms
Moayedi, Hossein ; Khasmakhi, Mohammad Ali Salehi Amin
- Link zu diesem Datensatz
- https://d-nb.info/1268269808
- Titel
- Wildfire susceptibility mapping using two empowered machine learning algorithms
- Art des Inhalts
- Teil eines Werks
- Verfassangaben
- by Hossein Moayedi, Mohammad Ali Salehi Amin Khasmakhi
- Autor(en)
-
- Moayedi, Hossein
- Khasmakhi, Mohammad Ali Salehi Amin
- Organisation(en)
-
- SpringerLink (Online service)
- Zeitliche Einordnung
- Erscheinungsdatum: 2022
- Umfang/Format
- Online-Ressource
- ISSN
14363259- DOI
- 10.1007/s00477-022-02273-4
- Online
- https://doi.org/10.1007/s00477-022-02273-4
- Sprache
- eng
- Schlagwörter
-
- (lcsh)Earth sciences.
- (lcsh)Probabilities.
- (lcsh)Statistics.
- (lcsh)Computational intelligence.
- (lcsh)Environmental sciences.
- (lcsh)Water pollution.
- Math. Appl. in Environmental Science.
- Earth Sciences, general.
- Probability Theory and Stochastic Processes.
- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
- Computational Intelligence.
- Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution.
- Frühere/spätere Titel
-
- Enthalten in: Stochastic environmental research and risk assessment
- Enthalten in: Stochastic environmental research and risk assessment
- Enthalten in: Stochastic environmental research and risk assessment
- Stand
- 04.01.2026 09:32
- Im Katalog seit
- 07.03.2026