Anomaly detection of slope deformation by multivariate time series data analysis using CNN

Nobutaka Hiraoka

Presentation information

[共通セッション] 土木分野におけるAIの活用

土木分野におけるAIの活用 (8)

Fri. Sep 15, 2023 1:30 PM - 2:50 PM CS-1 (広島工業大五日市キャンパス三宅の森Nexus21 701／広島大東広島キャンパス工学部講義棟 B218)

Chair: Kou Ueyama

1:30 PM - 1:40 PM

[CS14-49] Anomaly detection of slope deformation by multivariate time series data analysis using CNN

*Nobutaka Hiraoka¹, Ryota Nakane², Hidetaka Saomoto³, Naotaka Kikkawa¹, Kazuya Itoh² (1. National Institute of Occupational Safety and Health, Japan, 2. Tokyo City University, 3. National Institute of Advanced Industrial Science and Technology)

Keywords:anomaly detection, deep learning, slope failure, CNN, Occupational Safety

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