Abstract: Motivated by depression's significant impact on global health, this work proposes MultiDepNet, a novel multi-modal interpretable depression detection system integrating visual, physiological ...
Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
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