FireClassNet: a deep convolutional neural network approach for PJF fire images classification

Author:

Daoud ZeinebORCID,Ben Hamida AmalORCID,Ben Amar ChokriORCID

Funder

Ministère de l’Enseignement Supérieur et de la Recherche Scientifique

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference62 articles.

1. Vallejo Calzada VR, Faivre N, Cardoso Castro Rego FM, Moreno Rodriguez JM, Xanthopoulos G (2018) Forest fires. Sparking firesmart policies in the EU. Publications Office of the European Union, Luxembourg. Available at http://hdl.handle.net/20.500.12038/175

2. Mills E, Lamm T, Sukhia S, Elkind E, Ezroj A (2018) Trial by fire: managing climate risks facing insurers in the golden state. California Department of Insurance, California. Available at https://www.law.berkeley.edu/research/clee/research/climate/california-climate-action/insurance/

3. Hou R, Pan M, Zhao Y, Yang Y (2019) Image anomaly detection for IoT equipment based on deep learning. J Vis Commun Image Represent 64:102599

4. Namozov A, Im Cho Y (2018) An efficient deep learning algorithm for fire and smoke detection with limited data. Adv Electr Comput Eng 18(4):121–128

5. Xie Y, Peng M (2019) Forest fire forecasting using ensemble learning approaches. Neural Comput Appl 31(9):4541–4550. https://doi.org/10.1007/s00521-018-3515-0

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