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Special Issue on "Data-Centric Geotechnics for Practice".

Authors :
Phoon, Kok-Kwang
Zhang, Limin
Cao, Zijun
Source :
Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards; Mar2024, Vol. 18 Issue 1, p1-7, 7p
Publication Year :
2024

Abstract

This document is a special issue of the journal Georisk, focusing on "Data-Centric Geotechnics for Practice." It includes various research studies and events related to geotechnics and machine learning. The studies cover topics such as slope stability analysis, landslide detection and forecasting, tunneling, and risk assessment. The research findings highlight the effectiveness of machine learning techniques in improving the accuracy and efficiency of geotechnical analysis and decision-making. The text also mentions the organization of workshops and the publication of a book that contribute to the advancement of data-centric geotechnics. Overall, these studies and events demonstrate the potential of machine learning in enhancing geotechnical practices and addressing challenges in the field. [Extracted from the article]

Details

Language :
English
ISSN :
17499518
Volume :
18
Issue :
1
Database :
Complementary Index
Journal :
Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards
Publication Type :
Academic Journal
Accession number :
175980604
Full Text :
https://doi.org/10.1080/17499518.2024.2318849