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

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	426-434
Number of pages	9
Journal	Geotechnical Special Publication
Volume	2025-March
Issue number	GSP 368
DOIs	https://doi.org/10.1061/9780784486016.043
State	Published - Feb 27 2025
Event	Geotechnical Frontiers 2025: Soil Characterization and Improvement - Louisville, United States Duration: Mar 2 2025 → Mar 5 2025

ASJC Scopus Subject Areas

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

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10.1061/9780784486016.043

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title = "Machine Learning Enabled Modeling of Cc and Cr for Florida Soils Using Influential Parameters",

author = "Michael Morales and Scott Kirts and Siddharth Parida and Ryan Shamet",

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AU - Morales, Michael

AU - Kirts, Scott

AU - Parida, Siddharth

AU - Shamet, Ryan

N1 - Publisher Copyright: © ASCE.

PY - 2025/2/27

Y1 - 2025/2/27

UR - https://www.scopus.com/pages/publications/86000525194

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DO - 10.1061/9780784486016.043

M3 - Conference article

AN - SCOPUS:86000525194

SN - 0895-0563

VL - 2025-March

SP - 426

EP - 434

JO - Geotechnical Special Publication

JF - Geotechnical Special Publication

IS - GSP 368

T2 - Geotechnical Frontiers 2025: Soil Characterization and Improvement

Y2 - 2 March 2025 through 5 March 2025

ER -

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

ASJC Scopus Subject Areas

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