Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Geunyoung Kim"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Homomorphic encryption performs computations on encrypted data without decrypting, thereby eliminating security issues during the data communication between clouds and edges. As a result, there is a growing need for homomorphic encryption ha
Externí odkaz:
https://doaj.org/article/a40581cbaba04f0abfec1939041d873f
Autor:
Yuyeon Jung, Taewan Kim, Mi-Ryung Han, Sejin Kim, Geunyoung Kim, Seungchul Lee, Youn Jin Choi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE) to classify ovarian tumors. A total of 1613 ultrasound images of
Externí odkaz:
https://doaj.org/article/e50d8dcea4fb476f889ae6d0689e620d
Autor:
Geunyoung Kim, Jaecheol Ryou
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4387 (2023)
Anonymity forms the basis of decentralized ecosystems, leading to an increase in criminal activities such as money laundering and illegal currency trading. Especially in blockchain-based metaverse services, activities such as preventing sexual crimes
Externí odkaz:
https://doaj.org/article/ea4ee05795494f71a490672bb869acc2
Autor:
Geunyoung Kim, Seoil Son, Hanchan Song, Jae Bum Jeon, Jiyun Lee, Woon Hyung Cheong, Shinhyun Choi, Kyung Min Kim
Publikováno v:
Advanced Science, Vol 10, Iss 3, Pp n/a-n/a (2023)
Abstract A memristive crossbar array (MCA) is an ideal platform for emerging memory and neuromorphic hardware due to its high bitwise density capability. A charge trap memristor (CTM) is an attractive candidate for the memristor cell of the MCA, beca
Externí odkaz:
https://doaj.org/article/4c434b1da72d4b4ab5b1f237a7140d13
Autor:
Yuyeon Jung, Taewan Kim, Mi-Ryung Han, Sejin Kim, Geunyoung Kim, Seungchul Lee, Youn Jin Choi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/130b7e4cf36548009c726879531ed71a
Autor:
Hanchan Song, Jangho An, Seoil Son, Young Seok Kim, Juseong Park, Jae Bum Jeon, Geunyoung Kim, Kyung Min Kim
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 7, Pp n/a-n/a (2020)
Memristive neural networks perform vector matrix multiplication efficiently, which is used for the accelerator of neuromorphic computing. To train the memristor cells in a memristive neural network, the analog conductance state of the memristor shoul
Externí odkaz:
https://doaj.org/article/5e7d1c50adde46deb2467e1e497a3e4c
Publikováno v:
Computers, Vol 10, Iss 1, p 7 (2020)
As blockchain-based applications and research such as cryptocurrency increase, an oracle problem to bring external data in the blockchain is emerging. Among the methods to solve the oracle problem, a method of configuring oracle based on TLS, an exis
Externí odkaz:
https://doaj.org/article/533396fba40c4ac09100e564fc39d234
Publikováno v:
PLoS ONE, Vol 6, Iss 11, p e28154 (2011)
The plasma jet has been proposed as a novel therapeutic method for anticancer treatment. However, its biological effects and mechanism of action remain elusive. Here, we investigated its cell death effects and underlying molecular mechanisms, using a
Externí odkaz:
https://doaj.org/article/0b79a223a0d541639bb894ec5346de1c
Publikováno v:
Materials Horizons; 9/7/2024, Vol. 11 Issue 17, p4094-4103, 10p
Publikováno v:
KSII Transactions on Internet & Information Systems; Aug2024, Vol. 18 Issue 8, p2417-2430, 14p