Artificial Intelligence and Data Science

Artificial Intelligence and Data Science

Technology of artificial intelligence and data science is rapidly developing and expanding to various filed of application. Intelligence, informatics and Infrastructure solicits papers in the related area of artificial intelligence and data science including i.e. research and development, education, survey and testing, practices etc.
Further details can be found at:
Intelligence, Informatics and Infrastructure

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Published by Japan Society of Civil Engineers

804 registered articles
(updated on January 09, 2026)

Online ISSN : 2435-9262

JOURNAL PEER REVIEWED OPEN ACCESS
J-STAGE Data

2025 Volume 6 Issue 3

Deep learning model for accident risk prediction on expressways considering wind effects Shinichiro YABATA, Takahiro TSUBOTA, Toshio YOSHII, Jian XING
Comprehensive information provision system for evacuation support during disasters Koudai YAMADA, Shiori KUBO, Hidenori YOSHIDA
Mode analysis for spatial distribution of reach probability of earthquake-induced rockfall Sana KAWAHARA, Kiyonobu KASAMA, Gaoyuan LYU
Spatial visualization of WBGT using CG light source control considering solar radiation scattering Ryoya SHIBATA, Taira OZAKI, Satoshi KUBOTA, Yoshihiro YASUMURO

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Most viewed articles (December 2025)

1

A study on application of large-scale language models to maintenance and management for infrastructure

Released on J-STAGE: November 14, 2023 | Volume 4 Issue 3 Pages 474-481

Koichi SUGISAKI, Masato ABE, Pang-jo CHUN
2

A statistical approach for validating LLM-as-a-judge

Released on J-STAGE: November 11, 2025 | Volume 6 Issue 3 Pages 406-419

Jun KAWAMURA, Daisuke SUGETA, Kenta HAKOISHI
3

Proposal for a system for extracting points for improvement in tourist attractions using word-of-mouth data posted on travel information websites.

Released on J-STAGE: November 14, 2023 | Volume 4 Issue 3 Pages 942-951

Yuta BABA, Makoto FUJIU, Yuma MORISAKI
4

Enhancement of real-time flood inundation prediction based on deep learning with dimensionality compression

Released on J-STAGE: November 11, 2025 | Volume 6 Issue 3 Pages 287-295

Ryuya NAKAYAMA, Kanta YAMAGUCHI, Masayuki HITOKOTO, Kazuo KASHIYAMA
5

Evaluation of MOT trackers for pedestrian trajectory quantification on sidewalks

Released on J-STAGE: July 25, 2025 | Volume 6 Issue 2 Pages 221-229

Ryuto YOSHIDA, Junichi OKUBO, Junichiro FUJII

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