Damage Classification Method for a Wooden Building Based on Hysteresis Loop Using CNN

Authors

Institutions

Publication Details

Journal
Journal of Japan Association for Earthquake Engineering
Published
2025-01-01
DOI
https://doi.org/10.5610/jaee.25.6_74
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Damage Classification Method for a Wooden Building Based on Hysteresis Loop Using CNN

Masayuki Kohiyama, Takuzo Yamashita, Shigeki Chiba
Journal of Japan Association for Earthquake Engineering
Industrial Vision Systems and Defect Detection
article

Damage Classification Method for a Wooden Building Based on Hysteresis Loop Using CNN

Masayuki Kohiyama, Takuzo Yamashita, Shigeki Chiba
article en

Abstract

No abstract available for this paper.
Journal of Japan Association for Earthquake EngineeringVol. 25(6)
Keio University (JP), National Research Institute for Earth Science and Disaster Resilience (JP)
Sustainable cities and communities
Openalex Percentile: Top 86%
Industrial Vision Systems and Defect Detection
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.