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Thermal data is crucial for accurate wildfire segmentation, with transformer-based multimodal fusion strategies leading the way in performance.
U-Net outshines its competitors in wildfire segmentation, proving that the right spectral band can make all the difference in low-density fire detection.
Achieving over 96% accuracy in exercise quality assessment could revolutionize remote rehabilitation by enabling effective, therapist-free patient monitoring.