Sparse-coded Time-delay Graph DMD for Prediction of River Water Level Distribution-Reference-Cited by-同舟云学术

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Sparse-coded Time-delay Graph DMD for Prediction of River Water Level Distribution

Published:2024-07-02 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
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Author:

ITO Ryuto¹,NAITO Tsubasa¹,YASUDA Hiroyasu²^ORCID,NAGAHARA Masaaki³^ORCID,MURAMATSU Shogo⁴^ORCID

Affiliation:

1. Graduate School of Sci. & Tech. Niigata Univ.,Niigata,Japan

2. Res. Inst. for Natural Hazards & Disaster Recovery Niigata Univ.,Niigata,Japan

3. Graduate School of Advanced Sci. & Eng. Hiroshima Univ.,Hiroshima,Japan

4. Niigata Univ.,Faculty of Eng.,Niigata,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10628105/10628121/10628276.pdf?arnumber=10628276

Reference15 articles.

1. The impacts of climate change on river flood risk at the global scale

2. Enhancement of river flooding due to global warming

3. Sparse-Coded Dynamic Mode Decomposition on Graph for Prediction of River Water Level Distribution

4. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

5. Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control

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