A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection
Crossref DOI link: https://doi.org/10.1007/s10586-023-04003-z
Published Online: 2023-04-29
Published Print: 2024-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Akyol, Kemal http://orcid.org/0000-0002-2272-5243
Text and Data Mining valid from 2023-04-29
Version of Record valid from 2023-04-29
Article History
Received: 7 September 2022
Revised: 2 April 2023
Accepted: 12 April 2023
First Online: 29 April 2023
Declarations
:
: The author declares that he has no conflicts of interest.