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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 7 of 7

Classification of igneous rocks from petrographic thin section images using convolutional neural network

Seo W.; Kim Y.; Sim H.; YUN GOO SONG; TAE SUP YUN

ArticleIssue Date2022CitationEARTH SCIENCE INFORMATICS, v.15, pp 1297 - 1307PublisherSPRINGER HEIDELBERG
Determination of shape parameters of sands: a deep learning approach

Kim Y.; Ma J.; Lim S.Y.; Song J.Y.; TAE SUP YUN

ArticleIssue Date2022CitationACTA GEOTECHNICA, v.17, no.4, pp 1521 - 1531PublisherSPRINGER HEIDELBERG
Development of microcracks in granitic rock by liquid CO2 fracturing

Ha, SJ (Ha, Seong Jun); Kim, Y (Kim, Yejin); TAE SUP YUN

ArticleIssue Date2021CitationINTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, v.146, pp 104876-1 - 104876-10PublisherPERGAMON-ELSEVIER SCIENCE LTD
Effects of Pore Water Volume on K-0 for Sand Subject to Freezing and Thawing

Kim Incheol; Lee Donghun; Kim, Yejin; YUN, TAE SUP; Lee, Jun Hwan

ArticleIssue Date2021CitationJournal of Geotechnical and Geoenvironmental Engineering - ASCE, v.147, no.3PublisherAmerican Society of Civil Engineers
How to classify sand types: A deep learning approach

Kim Y.; TAE SUP YUN

ArticleIssue Date2021CitationENGINEERING GEOLOGY, v.288, pp 106142-1 - 106142-9PublisherELSEVIER SCIENCE BV
Prediction of compressional wave velocity of cement-reinforced soil from core images using a convolutional neural network regression model

Kim, Yejin; Lim Seok Yong; Kim Kwang Yeom; YUN, TAE SUP

ArticleIssue Date2023CitationComputers and Geotechnics, v.153PublisherPergamon Press Ltd.
Reliability and applicability of the Krumbein-Sloss chart for estimating geomechanical properties in sands

Kim, Yejin; Suh, Hyoung Suk; Yun, Tae Sup

ArticleIssue Date2019CitationENGINEERING GEOLOGY, v.248, pp 117 - 123PublisherELSEVIER SCIENCE BV
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