Machine Learning Enabled Modeling of Cc and Cr for Florida Soils Using Influential Parameters

Michael Morales; Scott Kirts; Siddharth Parida; Ryan Shamet

doi:10.1061/9780784486016.043

Machine Learning Enabled Modeling of Cc and Cr for Florida Soils Using Influential Parameters

Michael Morales
, Scott Kirts
, Siddharth Parida
, Ryan Shamet

School of Engineering

Producción científica: Conference article › revisión exhaustiva

Idioma original	English
Páginas (desde-hasta)	426-434
Número de páginas	9
Publicación	Geotechnical Special Publication
Volumen	2025-March
N.º	GSP 368
DOI	https://doi.org/10.1061/9780784486016.043
Estado	Published - feb 27 2025
Evento	Geotechnical Frontiers 2025: Soil Characterization and Improvement - Louisville, United States Duración: mar 2 2025 → mar 5 2025

ASJC Scopus Subject Areas

Civil and Structural Engineering
Architecture
Building and Construction
Geotechnical Engineering and Engineering Geology

Acceder al documento

10.1061/9780784486016.043

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AU - Shamet, Ryan

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