Electrical Equipment Classification via Improved Faster Region-based Convolutional Neural Network
Author:
Affiliation:
1. Xi’an University of Technology,School of Electrical Engineering,Xi’an,China,710048
2. Xi’an Power Supply Company of State Grid,Xi’an,China,710048
3. Xi’an Jinze Electric Technology Company Ltd,Xi’an,China,710048
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10588280.pdf?arnumber=10588280
Reference20 articles.
1. Use of AI for development and generation of renewable energy
2. An Online Technology for Measuring Icing Shape on Conductor Based on Vision and Force Sensors
3. Icing-EdgeNet: A Pruning Lightweight Edge Intelligent Method of Discriminative Driving Channel for Ice Thickness of Transmission Lines
4. Edge-Aware Convolution Neural Network Based Salient Object Detection
5. Box-Point Detector: A Diagnosis Method for Insulator Faults in Power Lines Using Aerial Images and Convolutional Neural Networks
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