Early fire detection using convolutional neural networks during surveillance for effective disaster management

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Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China (2019, methodology): “…successful and widely used DL algorithms, has produced significant improvements in the latest studies in areas such as disaster damage detection (Muhammad et al. 2018; Vetrivel et al. 2018), remotely sensed image classification (Liu and Abd-Elrahman 2018; Zhang et al. 2018), and landslide…”
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey (2020, background): “These challenges include privacy preservation [149], the computational complexity of deep learning models [150],”
A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing (2020, background): “In [56], the authors combined AlexNet as a baseline architecture and the internet of multimedia things (IoMT) for fire detection and disaster management.”
Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications (2019, background): “, can 34 be detected at early stages, and the appropriate authority 35 can be autonomously informed [6], [7].”