Detection of Anomalous Fire using Deep Learning Techniques

One of the most damaging anomalous occurrences is fire. Both human lives and property are severely damaged and destroyed by it. Deep Learning has recently demonstrated promising outcomes in a number of classification and detection research projects. A better technique is still needed for effective f...

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Veröffentlicht in:	NeuroQuantology 2022-01, Vol.20 (8), p.5674
Hauptverfasser:	Gupta, Ashish, Bhatnagar, Gunjan, Kumar, Ranjit, Garg, Umang, Kumar, Atul, Panwar, Neeraj
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Datasets Deep learning Fire damage Fire detection Machine learning Research projects Smoke
Online-Zugang:	Volltext
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