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A Novel Indoor Positioning System for unprepared firefighting scenarios
Situational awareness and Indoor location tracking for firefighters is one of the tasks with paramount importance in search and rescue operations.
Time accelerated image super-resolution using shallow residual feature representative network
The recent advances in deep learning indicate significant progress in the field of single image super-resolution.
Unsupervised Segmentation of Fire and Smoke from Infra-Red Videos
This paper proposes a vision-based fire and smoke segmentation system which use spatial, temporal and motion information to extract the desired regions from the video frames.
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