Japan Society of Civil Engineers 2026 Annual Meeting
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Session Details

Utilization of AI in the civil engineering field

土木分野におけるAIの活用（その4）

Thu. Sep 3, 2026 11:00 AM - 12:20 PM JST
Thu. Sep 3, 2026 2:00 AM - 3:20 AM UTC
Room D60, 6th Floor, Building 7 (Hokkai-Gakuen University)
11:00 AM - 11:10 AM JST(2:00 AM - 2:10 AM UTC)

[CS14-24]Enhancing Collapsed Area Extraction from Aerial Photographs via Deep Learning and Test-Time Adaptation

*Tatsuhiro Fujita1, Kouichi Araki1, Tomoki Kawamura1, Daisuke Fujiwara1, Hiromu Daimaru2, Kenichiro Toda3, Wataru Murakami4 (1. GODAI KAIHATSU Corporation, 2. Ishikawa Prefectural University, 3. Geo･Forest Co.,Ltd., 4. Forestry and Forest Products Research Institute)
11:10 AM - 11:20 AM JST(2:10 AM - 2:20 AM UTC)

[CS14-25]Deep Learning–Based Enhancement of Noise Processing for 3D Point Cloud Data in Railway Infrastructure Management

*Genki Ito1, Gakuji Yamamoto1, Takaya Tominaga1, Ryuji Goto2, Kenta Itakura3 (1. JRCENTRALRAILWAY COMPANY, 2. JRCENTRALCONSULTANTS COMPANY, 3. ImVisionLabs Inc.)
11:20 AM - 11:30 AM JST(2:20 AM - 2:30 AM UTC)

[CS14-26]Comprative Study of Wireframe Extraction and Semantic Segmentation for Roofline Extraction Using Orthophotos and DSM

*Rin Masaki1, Yonghe Ri1, Tatsunori Sada1, Seiya Shimasaki2, Mitsuteru Sakamoto2, Toshiaki Sato2 (1. Nihon University, 2. PASCO)
11:30 AM - 11:40 AM JST(2:30 AM - 2:40 AM UTC)

[CS14-27]Earthquake Damage Estimation from Satellite Imagery Using a Deep Learning Model Pretrained on Open Data

*Haruto Konishi1, Takashi Miyamoto2 (1. University of Yamanashi, 2. Institute of Science Tokyo)
11:40 AM - 11:50 AM JST(2:40 AM - 2:50 AM UTC)

[CS14-28]Fundamental Study of River and Dam Lake Usage Surveys Using Geospatial Information and Multimodal AI

*Takamasa Ochi1, Akamatsu Yoshihisa2 (1. Aratani Civil Engineering Consultants CO.,LTD, 2. Yamaguchi University Graduate School of Sciences and Technology for Innovation)
11:50 AM - 12:00 PM JST(2:50 AM - 3:00 AM UTC)

[CS14-29]Physical Correction of Flood Area Mapping Using Deep Learning with High-Resolution DEMs

*Takuto Sato1, Takashi Miyamoto2 (1. University of Yamanashi, 2. Institute of Science Tokyo)
12:00 PM - 12:10 PM JST(3:00 AM - 3:10 AM UTC)

[CS14-30]Investigation of Class Weighting Intensity in Semantic Segmentation for Extracting Fine Linear Geomorphic Features

*Toshu Fujinoki1, Kazuo Kashiyama1, Kazuki Kikuchi1, Heitaro Kaneda1, Hiroshi Okawa2 (1. Chuo University, 2. Eight-Japan Engineering Consultants Inc.)
12:10 PM - 12:20 PM JST(3:10 AM - 3:20 AM UTC)

[CS14-31]Effect of Training Data Size on Accuracy and Stability in
CNN-Based Liquefaction Detection

*Hikaru Kaneko1, Satoshi Murakami2, Takuya Masamoto2 (1. Fukuoka University Graduate School, 2. Fukuoka University)
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