Machine Learning and Data Science in Geotechnics
Published by Emerald Publishing
At a glance
Submission quick sheet
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Fit and scope
Use this first: a technically compliant paper can still be rejected when it falls outside the journal's remit.
- Aims and scope
- 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, Technology: Engineering (General). Civil engineering (General)
- Subjects
- 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, Technology: Engineering (General). Civil engineering (General)
Submission and review
The review model and timing below are catalogue facts; confirm current instructions before submitting.
- Review model
- Double anonymous peer review
- Plagiarism screening
- Yes
- Average publication time
- About 16 weeks
Evidence ledger
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