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

875 registered articles
(updated on September 05, 2026)

Online ISSN : 2435-9262

JOURNAL PEER REVIEWED OPEN ACCESS
J-STAGE Data

2026 Volume 7 Issue 2

Application and accuracy evaluation of a multi-temporal integrated AFNO-based rainfall prediction model for river basins in Kyushu Yasuhide SOTA, Daiwei CHENG, Chihiro SAKAYORI
Specialized RAG development for knowledge transfer using technical papers: A study on figure and table extraction methods Shunsuke SATO, Shudai SUZUKI, Shusaku SUZUKI, Kentaro HAYASHI, Tadashi HIBINO
Evaluation of Training Data Selection Strategies for Automated Concrete Surface Crack Detection Kosei KOIZUMI, Yuki MURATA, Akito SAKURAI, Yusaku OKADA, Toshihiro WAKAHARA
A study on the digital transformation of sewerage facility management using image analysis technologies Hideki SASSA, Yutaka UTSUNOMIYA, Katsuya KINOSHITA, Takafumi MIZUNO, Takashi NAKATA

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Most viewed articles (August 2026)

1

Specialized RAG development for knowledge transfer using technical papers: A study on figure and table extraction methods

Released on J-STAGE: July 27, 2026 | Volume 7 Issue 2 Pages 60-68

Shunsuke SATO, Shudai SUZUKI, Shusaku SUZUKI, Kentaro HAYASHI, Tadashi HIBINO
2

Construction of a Knowledge-Driven Federated Database Model for Technical Knowledge Transfer in Port and Harbor Engineering

Released on J-STAGE: July 27, 2026 | Volume 7 Issue 2 Pages 90-97

Shudai SUZUKI, Shunsuke SATO, Kentaro HAYASHI, Masato Ohno, Tadashi HIBINO
3

Research on Affordable Road Pavement Inspection for Municipalities Utilizing Smartphone LiDAR and LLM

Released on J-STAGE: July 27, 2026 | Volume 7 Issue 2 Pages 307-314

Susumu HAMAZAKI, Pang-jo CHUN, Yoshinobu WATANABE
4

Machine learning-based factor analysis and risk assessment of sewage infrastructure deterioration

Released on J-STAGE: July 27, 2026 | Volume 7 Issue 2 Pages 287-306

Honoka TAKACHI, Hajime SEYA, Kotaro SASAI
5

Construction of Human-in-the-Loop Inference for Automatic Structuring of Bridge Attribute Data Using Multimodal Large Language Models

Released on J-STAGE: July 27, 2026 | Volume 7 Issue 2 Pages 32-43

Masayuki HIGASHIWADA, Pang-jo CHUN

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