IoT Based on-the-fly Visual Defect Detection in Railway Tracks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9081868/9089428/09089560.pdf?arnumber=9089560
Cited by 8 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. Patch-Masked Visual Inspection via Parallel Deep Tensor Factorization in Industrial Internet of Things;IEEE Internet of Things Journal;2024-09-01
2. A study on the application of convolutional neural networks for the maintenance of railway tracks;Discover Artificial Intelligence;2024-05-02
3. Predicting the Risk Level and Position of Objects in the Forklift's Blind Spot Area Using Artificial Neural Network;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14
4. Joint Front–Edge–Cloud IoVT Analytics: Resource-Effective Design and Scheduling;IEEE Internet of Things Journal;2022-12-01
5. Unsupervised detection of rail surface defects and rail-head anomalies using Auto-encoder;2022 Global Conference on Wireless and Optical Technologies (GCWOT);2022-02-14
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