Machine Learning and Data Science in Geotechnics is a peer-reviewed english-language open-access journal published by Emerald Publishing in United Kingdom, operating under an open-access model since 2024. The journal covers Engineering (General). Civil engineering (General).
Authors are required to pay an article processing charge to publish in Machine Learning and Data Science in Geotechnics; refer to the journal's APC page for the current rate. A waiver policy is offered for eligible authors. Articles are released under the CC BY license (see other journals using this license).
To date, Machine Learning and Data Science in Geotechnics has published 18 articles. Articles are minted with DOIs through the prefix 10.1108.
Keywords
machine learning in geotechnics, artificial intelligence for infrastructure resilience, big data and statistical analysis in soil mechanics, sustainable geotechnical engineering, geostructure modeling and optimization, micro-to-macro scale geotechnical applications
At a glance
- Publisher
- Emerald Publishing
- Country
- United Kingdom
- Primary language
- English
- License
- CC BY
- Peer review
- Double anonymous peer review
- OA since
- 2024
- DOI prefix
10.1108
ISSN
- electronic
- 3029-0422
Frequently asked questions
Is Machine Learning and Data Science in Geotechnics peer-reviewed?
Does Machine Learning and Data Science in Geotechnics charge an article processing charge (APC)?
What subjects does Machine Learning and Data Science in Geotechnics publish?
What languages does Machine Learning and Data Science in Geotechnics accept?
What is the ISSN of Machine Learning and Data Science in Geotechnics?
3029-0422 (electronic).