pv magazine Australia

Machine-learning models identify hidden physical defects in solar arrays

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Oneindia

Managing Combinatorial Explosion In High Dimensional Time Series Anomaly Detection

Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...
IEEE

APE: Anomaly-Guided Progressively Balanced Ensemble Learning for Insulator Extraction From Imbalanced LiDAR Data

Abstract: Extraction of insulators from power corridors is crucial for the construction of smart grids. Recent significant progress has been made in transmission line inspection through the ...