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

In these recent years, the world has been faced with fires’ outbreak, which represented the most serious problem causing huge casualties and considerable destructions. It is therefore essential to early detect fire in video surveillance scenes accurately and reliably in order to overcome the common...

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Veröffentlicht in:	Neural computing & applications 2023-09, Vol.35 (26), p.19069-19085
Hauptverfasser:	Daoud, Zeineb, Ben Hamida, Amal, Ben Amar, Chokri
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Casualties Classification Computational Biology/Bioinformatics Computational Science and Engineering Computer architecture Computer Science Data Mining and Knowledge Discovery Frames (data processing) Image classification Image Processing and Computer Vision Machine learning Neural networks Original Article Probability and Statistics in Computer Science Surveillance Surveillance systems
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