IEEE

A Convolutional Neural Network and Feature Selection-Based Method for Arc Fault Location in Household Appliances

Abstract: To address the challenge of locating series arc faults in household appliances, this paper proposes an arc fault location method based on feature selection and Convolutional Neural Networks ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
C&EN

GLA-Synergy: An Interpretable Global-Local Adaptive Framework for Drug Synergy Prediction in Cancer Treatment

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

CatBoost-Enhanced Convolutional Neural Network Framework with Explainable Artificial Intelligence for Smart-Grid Stability Forecasting

The final, formatted version of the article will be published soon. Mobile robots, such as drones, rovers, and autonomous ground units, are becoming more crucial for inspecting, monitoring, and ...
Frontiers

A lightweight deep convolutional neural network development for soybean leaf disease recognition

Soybean is one of the world’s major oil-bearing crops and occupies an important role in the daily diet of human beings. However, the frequent occurrence of soybean leaf diseases caused serious threats ...
C&EN

A Resilient MEMS Sensor Array–AI System for DGA-Based Transformer Fault Monitoring in High-H

State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P. R. China ...
IEEE

Artificial Neural Network-Based Fault Detection and Classification for Enhanced Reliability in Electrical Power Transmission Networks

Abstract: The electrical power transmission networks (EPTNs), playing major role to transmit electrical power from location to remote location. The faults in the EPTN may degrade the performance of ...