Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin

Ryan Shamet; Sylvia Pesha; Siddharth Parida; Scott Kirts

doi:10.1061/9780784485682.007

Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin

Ryan Shamet
, Sylvia Pesha
, Siddharth Parida
, Scott Kirts

School of Engineering

University of North Florida

Research output: Chapter or Contribution to Book › Conference contribution

Original language	English
Title of host publication	Geotechnical Special Publication
Editors	Arvin Farid, Krishna Reddy, Nazli Yesiller
Pages	54-62
Number of pages	9
Edition	GSP 358
ISBN (Electronic)	9780784485682, 9780784485699, 9780784485705, 9780784485880, 9780784485965, 9780784485972, 9780784485989, 9780784485996, 9780784486009, 9780784486016
DOIs	https://doi.org/10.1061/9780784485682.007
State	Published - Feb 27 2025
Event	Geo-EnvironMeet 2025: Innovative Developments toward Sustainability - Louisville, United States Duration: Mar 2 2025 → Mar 5 2025

Publication series

Name	Geotechnical Special Publication
Number	GSP 358
Volume	2025-March
ISSN (Print)	0895-0563

Conference

Conference	Geo-EnvironMeet 2025: Innovative Developments toward Sustainability
Country/Territory	United States
City	Louisville
Period	3/2/25 → 3/5/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation
SDG 8 Decent Work and Economic Growth
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

ASJC Scopus Subject Areas

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

Access to Document

10.1061/9780784485682.007

Cite this

Shamet, R., Pesha, S., Parida, S., & Kirts, S. (2025). Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin. In A. Farid, K. Reddy, & N. Yesiller (Eds.), Geotechnical Special Publication (GSP 358 ed., pp. 54-62). (Geotechnical Special Publication; Vol. 2025-March, No. GSP 358). https://doi.org/10.1061/9780784485682.007

Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin. / Shamet, Ryan; Pesha, Sylvia; Parida, Siddharth et al.
Geotechnical Special Publication. ed. / Arvin Farid; Krishna Reddy; Nazli Yesiller. GSP 358. ed. 2025. p. 54-62 (Geotechnical Special Publication; Vol. 2025-March, No. GSP 358).

Research output: Chapter or Contribution to Book › Conference contribution

Shamet, R, Pesha, S, Parida, S & Kirts, S 2025, Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin. in A Farid, K Reddy & N Yesiller (eds), Geotechnical Special Publication. GSP 358 edn, Geotechnical Special Publication, no. GSP 358, vol. 2025-March, pp. 54-62, Geo-EnvironMeet 2025: Innovative Developments toward Sustainability, Louisville, United States, 3/2/25. https://doi.org/10.1061/9780784485682.007

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Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin

Publication series

Conference

UN SDGs

ASJC Scopus Subject Areas

Access to Document

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