Deep learning for data anomaly detection and data compression of a long‐span suspension bridge
Author:
Affiliation:
1. School of Civil EngineeringSoutheast University Nanjing China
2. Jiangsu Key Laboratory of Engineering MechanicsSoutheast University Nanjing China
3. Mechanical EngineeringCalifornia Polytechnic State University San Luis Obispo CA USA
Funder
National Natural Science Foundation of China
China Scholarship Council
Ministry of Science and Technology of the People's Republic of China
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12528
Reference28 articles.
1. Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring
2. Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring
3. Compressive sampling;Candès E. J.;Proceedings of the International Congress of Mathematicians,2006
4. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
5. Sparse representation approach to data compression for strain-based traffic load monitoring: A comparative study
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