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A model for predicting pseudospectral acceleration and peak ground acceleration utilizing supervised machine learning algorithms for seismically hazardous areas in India

Crossref DOI link: https://doi.org/10.1007/s11600-025-01742-y

Published Online: 2025-12-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mandal, Priyank

Mandal, Prantik https://orcid.org/0000-0002-5184-8584
Funding

Funding for this research was provided by:

DAE-RRC Fellowship, India (DAE sanction letter No. 1003/4/2025/R&D-II/RRC/DAE/9179)

DAE-RRC Fellowship, India (dated 11 July 2025)
License Information

Text and Data Mining valid from 2025-12-05

Version of Record valid from 2025-12-05
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Article History

Received: 19 May 2025

Accepted: 6 October 2025

First Online: 5 December 2025

Declarations

:

: The authors acknowledge that there are no conflicts of interest recorded.

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