An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...

AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Abstract: This article addresses the challenge of diagnosing open-circuit faults in power devices within three-level neutral point clamped (NPC) converters. An enhanced 1-D convolutional neural ...

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...

Parkinson’s disease (PD) is the second most common neurodegenerative disorder, after Alzheimer’s. Clinicians often use the mnemonic TRAP to recall its four key motor symptoms: tremor, rigidity, ...

May 23 (Reuters) - Oracle (ORCL.N), opens new tab will spend around $40 billion on Nvidia's (NVDA.O), opens new tab higher-performance chips to power OpenAI's new U.S. data center, the Financial Times ...

This repository contains an Intelligent Fault Detection (IFD) System to detect motor bearing faults in industrial machinery. Uses a 1D-CNN to achieve end-to-end classification from raw vibration ...