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 ...

SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Abstract: Machine learning (ML), particularly deep learning (DL), has been widely employed in electric motor applications such as fault diagnosis and motor design optimization. While vibration is ...

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...