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Abstract
Original language | English |
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Pages (from-to) | 12125-12135 |
Number of pages | 11 |
Journal | IEEE Transactions on Industrial Informatics |
Volume | 20 |
Issue number | 10 |
Online published | 4 Jul 2024 |
DOIs | |
Publication status | Published - Oct 2024 |
Funding
This work was supported in part by Shenzhen-Hong Kong-Macau Science & Technology Category C Project (SGDX20220530111205037), in part by the National Natural Science Foundation of China (72371215 and 72032005), in part by the Research Grant Council of Hong Kong (11200621 and 11201023), and in part by the Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA) and Hong Kong Institute of Data Science under Project 9360163
Research Keywords
- Rail transportation
- Anomaly detection
- Representation learning
- Image reconstruction
- Training
- Noise
- Rails
- Anomaly-free
- contrastive learning
- diffusion models
- image analytics
- railway scenes
Fingerprint
Dive into the research topics of 'An Anomaly-Free Representation Learning Approach for Efficient Railway Foreign Object Detection'. Together they form a unique fingerprint.Projects
- 2 Active
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GRF: Intelligent Prognostics and Health Management of Modular Systems
XIE, M. (Principal Investigator / Project Coordinator)
1/01/24 → …
Project: Research
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GRF: New Approaches for Reliability Analysis of Industrial Systems Subject to Multivariate Degradation
XIE, M. (Principal Investigator / Project Coordinator) & Gaudoin, O. (Co-Investigator)
1/01/22 → …
Project: Research