Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires-Reference-Cited by-同舟云学术

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Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires

Published:2024-02 Issue: Volume:173 Page:105930
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Khanmohammadi Sadegh^ORCID,Cruz Miguel G.,Mohammadi Golafshani Emadaldin,Bai Yu,Arashpour Mehrdad

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference64 articles.

1. Emulation of wildland fire spread simulation using deep learning;Allaire;Neural Network.,2021

2. A simple method for field-based grassland curing assessment;Anderson;Int. J. Wildland Fire,2011

3. Current status and future needs of the BehavePlus fire modeling system;Andrews;Int. J. Wildland Fire,2013

4. AI explainability framework for environmental management research;Arashpour;J. Environ. Manag.,2023

5. Recurrent neural networks for water quality assessment in complex coastal lagoon environments: a case study on the Venice Lagoon;Aslan;Environ. Modell. Softw.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-Driven PM2.5 Exposure Prediction in Wildfire-Prone Regions and Respiratory Disease Mortality Risk Assessment;Fire;2024-08-07

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