IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

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 ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
GitHub

NeuralBot - Neural Network Aimbot

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 ...
Frontiers

TSeq-GAN: a generalized and robust blind source separation framework for AIS signals of unmanned surface vehicles

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 ...
C&EN

Molecular Simulations with a Pretrained Neural Network and Universal Pairwise Force Fields

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine Learning Force Fields (MLFFs) promise to enable general molecular simulations ...
IEEE

A Novel Power Quality Disturbance Detection Using Circular Coordinate Transition and Optimized Convolutional Neural Networks

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 ...