Session Details
土木分野におけるAIの活用(その10)
Fri. Sep 4, 2026 1:30 PM - 2:50 PM JST
Fri. Sep 4, 2026 4:30 AM - 5:50 AM UTC
Fri. Sep 4, 2026 4:30 AM - 5:50 AM UTC
Room D60, 6th Floor, Building 7 (Hokkai-Gakuen University)
[CS14-68]Development and Evaluation of a Retrieval-Augmented Generation (RAG) System for Geological Risk Assessment in Mountain Tunneling
*Yoshihiro Miyake1, Shintaro Ida1 (1. OBAYASHI CORPORATION)
[CS14-69]Automation of mountain tunnel drilling operations using the blasting pattern design system "BlastSkill AI"
*Tomohiro Nishimura1, Atsushi Kuge1, Hirohumi Miyahara2, Yoko Koyabu3 (1. Obayashi, 2. MAC, 3. Brain)
[CS14-70]COMPARISON OF MACHINE LEARNING MODELS FOR PREDICTING TUNNEL OVERBREAK
*Kursat Kilic1, Kazuo Sakai1 (1. Taisei Corporation, Advanced Center of Technology)
[CS14-71]Estimation of geological distribution on a mountain tunnel face using AI
*Koichi Okuzawa1, Kenichi Nakaoka1, Akira Itagaki1 (1. Obayashi Corporation)
[CS14-72]AI-Based Tunnel Face Evaluation Using Textual Observation Records in Mountain Tunneling
*Tahiro Seki1, Takafumi Kitaoka1, Kirara Hashimoto1, Kazuo Sakai2, Takeru Akutsu2 (1. Kansai University, 2. TAISEI Corporation)
[CS14-73]Real-time Anomaly Detection with Distributed Acoustic Sensing and Machine Learning
*Thein Lin Aung1, Akinori Hasegawa2, Tatsuo Kokubo1, Yoshiaki Yamauchi1 (1. Neubrex, 2. Central Japan Railway Company)
[CS14-74]Attitude Prediction of Shield Machine Based on Subspace Identification Method with Machine Learning
*Shunsuke Kimura1, Maruta Ichiro2, Hiroki Kamada1, Jian Chen1 (1. Shimizu Corporation, 2. Kyoto University)
[CS14-75]Development of Labor-Saving Technologies for Railway Tunnel Inspection
*Takuma Takeda1, Takashi Nakayama1, Yota Konishi1, Yudai Yamashita1 (1. Railway technical research institute)
