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9）

Fri. Sep 4, 2026 11:00 AM - 12:20 PM JST
Fri. Sep 4, 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)

[CS14-60]A study on Leak Risk Assessment Methods for the Shinkansen Snow Melting Water Sprinkling System

*Kei Watanabe1, Youhei Nakabuchi1, Sigeyuki Sirasaka2, Yuhei aihara2 (1. East Japan Railway Company, 2. Tenchijin Co., Ltd.)
11:10 AM - 11:20 AM JST(2:10 AM - 2:20 AM UTC)

[CS14-61]Development and Performance Evaluation of a Deep Neural Network Surrogate Model for Vegetated Dam-Break Flows

*Shunsuke Iwasaki1, Tomoyuki Takabatake1 (1. Kindai University)
11:20 AM - 11:30 AM JST(2:20 AM - 2:30 AM UTC)

[CS14-62]NWP-based Wind Speed Prediction Considering Pressure Distributions

*Kosuke Yamamoto1, Hiroshi Hasebe1 (1. Nihon university)
11:30 AM - 11:40 AM JST(2:30 AM - 2:40 AM UTC)

[CS14-63]Water level estimation and interpretability evaluation in the Miyara River Estuary using deep learning-based image analysis

*Meiwa Mizuguchi1, Shinji Fukuda2, Taichi Kasahara3, Tomoyo Nakayama1 (1. United Graduate School of Advanced Interdisciplinary Science Tokyo University ofAgriculture and Technology, 2. Institute of Agriculture Tokyo University of Agriculture andTechnology, 3. United Graduate School of Agricultural Science Tokyo University of Agriculture and Technology)
11:40 AM - 11:50 AM JST(2:40 AM - 2:50 AM UTC)

[CS14-64]An Attempt at Leakage Detection Using Pressure Time-Series Data from Smart Meters

*Yuma Ueki1, Yoshihisa Maruyama2 (1. Graduate School of Science and Engineering, Chiba University, 2. Graduate School of Engineering, Chiba University)
11:50 AM - 12:00 PM JST(2:50 AM - 3:00 AM UTC)

[CS14-65]Development of a Machine Learning-Based Precipitation Prediction Model Using Raman Lider Observation Data

*Shuuma Takeda1, Hajime Sirozu2, Shun Okumura1, Kouji Asai1 (1. Yamaguchi University, 2. Tokai University)
12:00 PM - 12:10 PM JST(3:00 AM - 3:10 AM UTC)

[CS14-66]Development of an Accident Prediction Model for Water Distribution Pipelines Using Logistic Regression Analysis

*Yuki Nakamachi1, Yoshihisa Maruyama2 (1. Graduate School of Science and Engineering, Chiba University, 2. Graduate School of Engineering, Chiba University)
12:10 PM - 12:20 PM JST(3:10 AM - 3:20 AM UTC)

[CS14-67]A Hybrid Hydrological Model–Deep Learning Approach for Improving Low-Flow Dam Inflow Prediction

*Akira Ishii1, Ryoma Kitamura1, Yasuhiro Tawara2 (1. Yachiyo Engineering Co., Ltd., 2. Geosphere Environmental Technology Corp.)
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