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Machine Learning and Data Science in Geotechnics
Metadata for this journal is being automatically enriched from connected scholarly data sources.
Journal information
- Publisher
- Emerald Publishing
- Subjects
- artificial intelligence for infrastructure resilience · big data and statistical analysis in soil mechanics · Concrete and Cement Materials Research · Dam Engineering and Safety · Drilling and Well Engineering · Engineering (General). Civil engineering (General) · geostructure modeling and optimization · Geotechnical Engineering and Analysis · Geotechnical Engineering and Soil Mechanics · Landslides and related hazards · machine learning in geotechnics · micro-to-macro scale geotechnical applications · Soil and Unsaturated Flow · sustainable geotechnical engineering · Tunneling and Rock Mechanics
- Country
- GB
- Languages
- EN
- ISSN
- 3029-0414
- E-ISSN
- 3029-0422
- ISSN-L
- 3029-0414
- Open access
- Yes
- OA since
- 2024
- Publication years
- 2024–2026
- APC (summary)
- —
- Website
- —
Journal Classification
Classification is derived from this journal’s 2024–2025 publications using the OpenAlex taxonomy.
- Classification
- Field / Subfield
- Primary Field
- Engineering
- Primary Subfield
- Civil and Structural Engineering
- Domain
- Physical Sciences
- Confidence
- Low
- Publications classified
- 14
- Classification version
- OAJF Classification v1.1
APC records
- DOAJ · 2026
- 1,250 GBP