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

Producción científica: Conference contribution

Idioma original	English
Título de la publicación alojada	Geotechnical Special Publication
Editores	Arvin Farid, Krishna Reddy, Nazli Yesiller
Páginas	54-62
Número de páginas	9
Edición	GSP 358
ISBN (versión digital)	9780784485682, 9780784485699, 9780784485705, 9780784485880, 9780784485965, 9780784485972, 9780784485989, 9780784485996, 9780784486009, 9780784486016
DOI	https://doi.org/10.1061/9780784485682.007
Estado	Published - feb 27 2025
Evento	Geo-EnvironMeet 2025: Innovative Developments toward Sustainability - Louisville, United States Duración: mar 2 2025 → mar 5 2025

Serie de la publicación

Nombre	Geotechnical Special Publication
Número	GSP 358
Volumen	2025-March
ISSN (versión impresa)	0895-0563

Conference

Conference	Geo-EnvironMeet 2025: Innovative Developments toward Sustainability
País/Territorio	United States
Ciudad	Louisville
Período	3/2/25 → 3/5/25

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Clean water and sanitation
Decent work and economic growth
Sustainable cities and communities
Responsible consumption and production

ASJC Scopus Subject Areas

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

Acceder al documento

10.1061/9780784485682.007

Otros archivos y enlaces

Citar esto

Shamet, R., Pesha, S., Parida, S., & Kirts, S. (2025). Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin. En A. Farid, K. Reddy, & N. Yesiller (Eds.), Geotechnical Special Publication (GSP 358 ed., pp. 54-62). (Geotechnical Special Publication; Vol. 2025-March, N.º 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, N.º GSP 358).

Producción científica: 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. En A Farid, K Reddy & N Yesiller (eds.), Geotechnical Special Publication. GSP 358 ed., Geotechnical Special Publication, n.º 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

@inproceedings{50d7ae2f8c7747c5b5badeb556d36b94,

title = "Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin",

author = "Ryan Shamet and Sylvia Pesha and Siddharth Parida and Scott Kirts",

note = "Publisher Copyright: {\textcopyright} ASCE.; Geo-EnvironMeet 2025: Innovative Developments toward Sustainability ; Conference date: 02-03-2025 Through 05-03-2025",

year = "2025",

month = feb,

day = "27",

doi = "10.1061/9780784485682.007",

language = "English",

series = "Geotechnical Special Publication",

number = "GSP 358",

pages = "54--62",

editor = "Arvin Farid and Krishna Reddy and Nazli Yesiller",

booktitle = "Geotechnical Special Publication",

edition = "GSP 358",

}

TY - GEN

T1 - Machine Learning Enabled Assessment of Sinkhole Collapse Susceptibility within the Silver Springs Recharge Basin

AU - Shamet, Ryan

AU - Pesha, Sylvia

AU - Parida, Siddharth

AU - Kirts, Scott

PY - 2025/2/27

Y1 - 2025/2/27

UR - https://www.scopus.com/pages/publications/86000269098

UR - https://www.scopus.com/pages/publications/86000269098#tab=citedBy

U2 - 10.1061/9780784485682.007

DO - 10.1061/9780784485682.007

M3 - Conference contribution

AN - SCOPUS:86000269098

T3 - Geotechnical Special Publication

SP - 54

EP - 62

BT - Geotechnical Special Publication

A2 - Farid, Arvin

A2 - Reddy, Krishna

A2 - Yesiller, Nazli

T2 - Geo-EnvironMeet 2025: Innovative Developments toward Sustainability

Y2 - 2 March 2025 through 5 March 2025

ER -

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

Serie de la publicación

Conference

ODS de las Naciones Unidas

ASJC Scopus Subject Areas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto