Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
IEEE

Identification and Alleviation of False Data Injection Within the Cyber Layer of an Enhanced Distributed Secondary Control in DC Islanded Microgrids

Abstract: As a result of the integration of communication links within secondary control to circumvent the drawbacks associated with centralized control, microgrids have evolved into cyber-physical ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Local Normal Space Alignment for Industrial Process Monitoring by Nonisotropic Condition Data

Abstract: The effectiveness of dimension reduction analysis for high-dimensional process data is crucial to ensure industrial safety. Manifold learning methods can be advanced by considering both ...