Articles citing this paper
An artificial intelligence framework for predicting fire spread sustainability in semiarid shrublands
Sadegh Khanmohammadi
A , Mehrdad Arashpour A * , Emadaldin Mohammadi Golafshani A , Miguel G. Cruz B and Abbas Rajabifard C
+ Author Affiliations
- Author Affiliations
A Department of Civil Engineering, Monash University, Melbourne, Australia.
B CSIRO, GPO Box 1700, Canberra, ACT 2601, Australia.
C School of Engineering, Melbourne University, Melbourne, Vic. 3000, Australia.
* Correspondence to: mehrdad.arashpour@monash.edu
International Journal of Wildland Fire 32(4) 636-649 https://doi.org/10.1071/WF22216
Submitted: 12 November 2022 Accepted: 14 January 2023 Published: 3 February 2023
1 articles found in Crossref database.
Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires
Khanmohammadi Sadegh,
Cruz Miguel G.,
Mohammadi Golafshani Emadaldin,
Bai Yu, Arashpour Mehrdad
Environmental Modelling & Software. 2024 173 p.105930
