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A review of artificial intelligence methods for predicting gravity dam seepage, challenges and way-out | Publications | TRACER
Journal Article
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A review of artificial intelligence methods for predicting gravity dam seepage, challenges and way-out
Aqua Water Infrastructure Ecosystems and Society, Vol. 72, Iss. 7, pp. 1228-1248
Artificial Intelligence
Structural Engineering
Publication Metrics
Category
Published
Type
International
Databases
Science Direct
ISSN
2709-8028, 2709-8036
Indexes
(Indexed In, Metrics)
Scopus
Q2
Scimago
Q2
Important Dates
Published Date
07 Jul 2023
Affiliation Details
Bayfield University, Pune
Department of Civil Engineering
Department of Chemical Engineering
Authors
Priyanka Ashok Garsole
External
Shantini A. Bokil
Faculty
Vijendra Kumar
External
Arunabh Pandey
Faculty
Niraj S. Topare
Faculty
External URLs
Publication Link
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85168007884&origin=inward
DOI Link
https://doi.org/10.2166/aqua.2023.042