Sensing Wettability Condition of Insulation Surface Employing Convolutional Neural Network
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/9119070/09119789.pdf?arnumber=9119789
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Stacked Ensemble Deep Learning for Outdoor Insulator Surface Condition Classification: A Profound Study on Water Droplets;IEEE Access;2023
2. Accurate Sensing of Insulator Surface Contamination Using Customized Convolutional Neural Network;IEEE Sensors Letters;2023-01
3. Hydrophobicity Grade Detection of Polymeric Insulator Using Image Visibility Graph;2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON);2022-12-17
4. Surface Wettability Prediction using ML/AI;2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST);2022-12-09
5. The Hydrophobicity Class Identification of Silicone-Rubber Samples using Deep Learning Algorithms;2022 57th International Universities Power Engineering Conference (UPEC);2022-08-30
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