Application of machine learning to the identification of quick and highly sensitive clays from cone penetration tests

Client

• Research Council of Norway (RCN) / 281059

Author(s)

• Cristian Andres Godoy Leiva
• Ivan Depina
• Vikas Kumar Singh Thakur

Affiliation

• Norwegian University of Science and Technology
• SINTEF Community / Infrastructure
• University of Split

Issue

6

DOI

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