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 ...
IEEE

Adaptive Circular Receptive Field for Remote Sensing Image Target Detection

Abstract: Remote sensing images contain a variety of targets. The circular and square-like targets are very common. However, general methods are prone to incorporating background information and have ...
Frontiers

AMANet: a data-augmented multi-scale temporal attention convolutional network for motor imagery classification

1 School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China 2 School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China ...
Frontiers

MTMEGPS: An R package for multi-trait and multi-environment genomic and phenomic selection using deep learning

1 Institute of Biological Sciences, University of Talca, Talca, Chile 2 Centro de Genómica y Bioinformática, Facultad de Ciencias, Universidad Mayor, Huechuraba, Santiago, Chile The datasets analyzed ...