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Automated seismic event detection considering faulty data interference using deep learning and Bayesian fusion

Author(s): (Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming China)
(Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming China)
(Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming China)
(Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming China)
(School of Civil Engineering Harbin Institute of Technology Harbin China)
(School of Civil and Transportation Engineering Guangdong University of Technology Guangzhou China)
(Department of Civil Engineering School of Engineering Aalto University Espoo Finland)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13377
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.13377.
  • About this
    data sheet
  • Reference-ID
    10808387
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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