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