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Convolution Optimization in Fire Classification
2022
IEEE Access
Early alert fire and smoke detection systems are crucial for daily and security management decision-making. Recent literature approaches are based on Deep Learning (DL) models. Nevertheless, many developments have been focused on surpassing the previous state-of-the-art model's accuracy, regardless of the computational resources needed to execute the model. Efficient models are required for hardware-constrained systems, such as mobile devices, embedded systems, and robotics achieving high
doi:10.1109/access.2022.3151660
fatcat:wnp7db3nh5hdjng42qepmpexty