Abstract: This study introduces a novel Convolutional Long Short-Term Memory (ConvLSTM) network for steel structure damage detection, aimed at enhancing the accuracy and reliability of structural ...
Abstract: Autonomous driving faces significant object detection challenges under complex backgrounds characterized by dense scenes, object occlusion, long-range targets, and extreme weather conditions ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
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