Application of SVC, k-NN, and LDA machine learning algorithms for improved prediction of Bioturbation: Example from the Subei Basin, China-Reference-Cited by-同舟云学术

Application of SVC, k-NN, and LDA machine learning algorithms for improved prediction of Bioturbation: Example from the Subei Basin, China

Published:2024-08-28 Issue: Volume: Page:
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Quaye Jonathan Atuquaye^ORCID,Sarkodie Kwame^ORCID,Jiang Zaixing,Hu Chenlin^ORCID,Agbanu Joshua^ORCID,Adjei Stephen^ORCID,Li Baiqiang^ORCID

Funder

China National Science and Technology Major Project

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12145-024-01450-z.pdf

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