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Predicting the particle size distribution of fine-grained and sandy soils using deep learning for classifying recovered soils separated from tsunami deposits

Crossref DOI link: https://doi.org/10.1007/s10163-022-01404-x

Published Online: 2022-04-13

Published Print: 2022-07

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

Authors

Iwashita, Masaya

Otsuka, Yoshikazu

Katoh, Masahiko https://orcid.org/0000-0001-6219-2050
Funding

Funding for this research was provided by:

Environmental Restoration and Conservation Agency (3K163011)

Environmental Restoration and Conservation Agency (1-2004)
License Information

Text and Data Mining valid from 2022-04-13

Version of Record valid from 2022-04-13
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Article History

Received: 13 August 2021

Accepted: 7 March 2022

First Online: 13 April 2022

Declarations

:

: The authors declare no conflict of interest.

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