DeepQCD: An end-to-end deep learning approach to quickest change detection-Reference-Cited by-同舟云学术

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DeepQCD: An end-to-end deep learning approach to quickest change detection

Published:2024-08 Issue: Volume: Page:107199
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Kurt Mehmet Necip^ORCID,Zheng Jiaohao,Yilmaz Yasin,Wang Xiaodong

Funder

National Science Foundation

Publisher

Elsevier BV

Reference63 articles.

1. Detection of Abrupt Changes: Theory and Application;Basseville,1993

2. Quickest Detection;Poor,2008

3. Quickest change detection;Veeravalli,2014

4. On change detection in a Kalman filter based tracking problem;Moussakhani;Signal Process.,2014

5. Multisensor sequential change detection with unknown change propagation pattern;Kurt;IEEE Trans. Aerosp. Electron. Syst.,2019

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