Retracted: A High-Efficiency Deep-Learning-Based Antivibration Hammer Defect Detection Model for Energy-Efficient Transmission Line Inspection Systems-Reference-Cited by-同舟云学术

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Retracted: A High-Efficiency Deep-Learning-Based Antivibration Hammer Defect Detection Model for Energy-Efficient Transmission Line Inspection Systems

Published:2023-12-20 Issue: Volume:2023 Page:1-1
ISSN:1687-5869
Container-title:International Journal of Antennas and Propagation
language:en
Short-container-title:International Journal of Antennas and Propagation

Author:

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

Link

http://downloads.hindawi.com/journals/ijap/2023/9801989.pdf

Reference1 articles.

1. A High-Efficiency Deep-Learning-Based Antivibration Hammer Defect Detection Model for Energy-Efficient Transmission Line Inspection Systems

Cited by 1 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. Research on image recognition of UAV distribution line inspection based on deep learning;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

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