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A machine learning based systematic framework for modelling of compression and recompression indices for Florida soils

  • Michael Morales
  • , Leah Oberkehr
  • , Siddharth Parida
  • , Ryan Shamet
  • , Scott Kirts
  • , Stephen Medeiros

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number100113
JournalGeodata and AI
DOIs
StateAccepted/In press - 2026

ASJC Scopus Subject Areas

  • Computers in Earth Sciences
  • Artificial Intelligence
  • Geotechnical Engineering and Engineering Geology

Keywords

  • Compression indices
  • Feature importance
  • K-means clustering
  • Machine learning

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