Prediction and data mining of burned areas of forest fires: Optimized data matching and mining algorithm provides valuable insight-Reference-Cited by-同舟云学术

Prediction and data mining of burned areas of forest fires: Optimized data matching and mining algorithm provides valuable insight

Published:2021 Issue: Volume:5 Page:24-42
ISSN:2589-7217
Container-title:Artificial Intelligence in Agriculture
language:en
Short-container-title:Artificial Intelligence in Agriculture

Author:

Wood David A.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Agricultural and Biological Sciences,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference60 articles.

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4. Predicting burned areas of forest fires: an artificial intelligence approach;Castelli;Fire Ecol.,2015

5. Firebrand generation from thermally-degraded cylindrical wooden dowels;Caton-Kerr;Front. Mech. Eng.,2019

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3. Forecasting Burned Areas of Wildfires: A Case Study of Mae Hong Son Province in Thailand;2023 4th International Conference on Computers and Artificial Intelligence Technology (CAIT);2023-12-13

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