Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
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 ...
Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...
Proper waste sorting is very important for keeping our neighbourhoods clean and saving resources for the future. When we mix ...
Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...
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