AI-driven hybrid deep learning for real-time excavation risk assessment in deep foundation pit engineering

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Authors

Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.10071437
Primary Topic
Tunneling and Rock Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-driven hybrid deep learning for real-time excavation risk assessment in deep foundation pit engineering

Xuhui Luo
International Journal of Information and Communication Technology
Tunneling and Rock Mechanics
article

AI-driven hybrid deep learning for real-time excavation risk assessment in deep foundation pit engineering

Xuhui Luo
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Communication TechnologyVol. 26(19)
Climate action
Openalex Percentile: Top 88%
Tunneling and Rock Mechanics
DOIOpen Access PDFOpenAlex
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AI-driven hybrid deep learning for real-time excavation risk assessment in deep foundation pit engineering — Xuhui Luo · International Journal of Information and Communication Technology (2025) | TGRS Research Map | TGRS