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Manifestation of Flexural Vibration Modes of Rails by the Phase-Based Magnification Method

  • Published:2021 Issue: Volume:9 Page:98121-98131
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Kim Hyungjun,Chung Youngbeen,Jin Jie,Park JunhongORCID

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 6 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. KL-DNAS: Knowledge Distillation-Based Latency Aware-Differentiable Architecture Search for Video Motion Magnification;IEEE Transactions on Neural Networks and Learning Systems;2024

2. A Heuristic Framework for Personalized Route Recommendation Based on Convolutional Neural Networks;PRICAI 2023: Trends in Artificial Intelligence;2023-11-10

3. Application of Autoencoder Models to Replace Band-pass Filters in Image Vibrometry Utilizing Phase-based Motion Magnification;Transactions of the Korean Society for Noise and Vibration Engineering;2023-10-20

4. Multi Domain Learning for Motion Magnification;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Lightweight Network For Video Motion Magnification;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01
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