A Neural Network for Seismic Footage Anomaly Detection: Fundamental Validation with One-Hot Encoding

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Publication Details

Journal
Journal of Japan Association for Earthquake Engineering
Published
2025-01-01
DOI
https://doi.org/10.5610/jaee.25.7_1
Citations
1
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
2.48
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article

A Neural Network for Seismic Footage Anomaly Detection: Fundamental Validation with One-Hot Encoding

Hiroyuki Fujiwara, Hiroki AZUMA
1 citations
Journal of Japan Association for Earthquake Engineering
Seismology and Earthquake Studies
2.48
article

A Neural Network for Seismic Footage Anomaly Detection: Fundamental Validation with One-Hot Encoding

Hiroyuki Fujiwara, Hiroki AZUMA
article en
1 citations

Abstract

No abstract available for this paper.
Journal of Japan Association for Earthquake EngineeringVol. 25(7)
University of Tsukuba (JP), National Research Institute for Earth Science and Disaster Resilience (JP)
Climate action
Openalex Percentile: Top 10%
Seismology and Earthquake Studies
2.48
DOIOpen Access PDFOpenAlex
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A Neural Network for Seismic Footage Anomaly Detection: Fundamental Validation with One-Hot Encoding — Hiroyuki Fujiwara, Hiroki AZUMA · Journal of Japan Association for Earthquake Engineering (2025) | TGRS Research Map | TGRS