(POSTER) Enhancing Structural Health Monitoring with On-device AI
Author:
Affiliation:
1. Inha University,Dept. Infor. and Comm. Engr.,Incheon,Korea
2. Inha University,Dept. Elec. and Comp. Engr.,Incheon,Korea
3. Ino-on Inc.,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10621442/10621052/10621550.pdf?arnumber=10621550
Reference8 articles.
1. Structural health monitoring using wireless smart sensor network – An overview
2. Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art
3. Reinforcement-Learning-Enabled Partial Confident Information Coverage for IoT-Based Bridge Structural Health Monitoring
4. Application of Internet of Things Technology and Convolutional Neural Network Model in Bridge Crack Detection
5. Deep Learning for Edge Computing Applications: A State-of-the-Art Survey
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