Crossmark

Multi-step modeling of well logging data combining unsupervised and deep learning algorithms for enhanced characterization of the Quaternary aquifer system in Debrecen area, Hungary

Crossref DOI link: https://doi.org/10.1007/s40808-024-01986-5

Published Online: 2024-03-22

Published Print: 2024-06

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

Authors

Mohammed, Musaab A. A. https://orcid.org/0000-0002-0097-0037
Szabó, Norbert P.

Szűcs, Péter
Funding

Funding for this research was provided by:

Magyar Tudományos Akadémia

University of Miskolc
License Information

Text and Data Mining valid from 2024-03-22

Version of Record valid from 2024-03-22
More Information

Article History

Received: 23 January 2024

Accepted: 1 March 2024

First Online: 22 March 2024

Declarations

:

: The authors declare no financial or non-financial interests that are directly or indirectly related to this work.

Document is current

Any future updates will be listed below