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 ...
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...
1 Merchant Marine College, Shanghai Maritime University, Pudong, China 2 Shanghai Ship and Shipping Research Institute CO.LTD, Shanghai, China Autonomous Identification System (AIS) enables unmanned ...
Abstract: Ensuring high-power quality is a critical objective for electricity distributors, particularly in modern power systems with an increasing penetration of distributed generation. The ...
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 ...
Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 21166, ...
The internet powers just about everything we use at home these days: laptops for work, TVs for streaming, PCs and consoles for gaming–even our dishwashers and washing machines. That makes it more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback