Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...

Basic tutorial to Using Array in Blender, Slow and Fast motion. 00:00 Preview 00:23 Cube 01:03 Use Arrays 01:47 Reposition the Box 02:33 Split big box into small boxes 03:16 Rigid Body 04:19 Light and ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

These training opportunities are designed to empower professionals across North American industry. BIRMINGHAM, Ala., Nov. 12, 2025 – Motion Industries, Inc., a leading distributor of maintenance, ...

Abstract: Recent advances in wireless sensing have positioned Wi-Fi Channel State Information (CSI) as a promising modality for human activity recognition (HAR), offering a cost-effective and ...

Motion capture technology is a key enabler for the digitalization of the human body in VR/AR/MR, film production, and sports rehabilitation, and has attracted broad interdisciplinary attention.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Pune, a metropolitan city in western India, where this study ...