Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Sihwan Kim"'
Autor:
Yongmin Baek, Byungjoon Bae, Jeongyong Yang, Doeon Lee, Hee Sung Lee, Minseong Park, Taegeon Kim, Sihwan Kim, Bo‐In Park, Geonwook Yoo, Kyusang Lee
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 11, Pp n/a-n/a (2023)
Abstract Artificial neural networks (ANNs) are widely used in numerous artificial intelligence‐based applications. However, the significant amount of data transferred between computing units and storage has limited the widespread deployment of ANN
Externí odkaz:
https://doaj.org/article/1304a604e30042ffb8932070e7b8eee1
Autor:
Byungjoon Bae, Yongmin Baek, Jeongyong Yang, Heesung Lee, Charana S. S. Sonnadara, Sangeun Jung, Minseong Park, Doeon Lee, Sihwan Kim, Gaurav Giri, Sahil Shah, Geonwook Yoo, William A. Petri, Kyusang Lee
Publikováno v:
InfoMat, Vol 5, Iss 10, Pp n/a-n/a (2023)
Abstract Precise diagnosis and immunity to viruses, such as severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and Middle East respiratory syndrome coronavirus (MERS‐CoV) is achieved by the detection of the viral antigens and/or corre
Externí odkaz:
https://doaj.org/article/d86fdb9880e144668ae4d62cd554b671
Publikováno v:
Annals of Clinical Microbiology, Vol 25, Iss 3, Pp 103-109 (2022)
Bordetella hinzii is a nonfermenting, gram-negative rod and a rare opportunistic pathogen that can cause respiratory infections, bacteremia, and cholangitis. Here, we report the first case of bacteremia caused by B. hinzii in Korea. A 59-year-old man
Externí odkaz:
https://doaj.org/article/00c35f52875040f79b9027730823efeb
Autor:
Sihwan Kim
Publikováno v:
IEEE Access, Vol 10, Pp 34766-34778 (2022)
Knowledge distillation aims at transferring the knowledge from a pre-trained complex model, called teacher, to a relatively smaller and faster one, called student. Unlike previous works that transfer the teacher’s softened distributions or feature
Externí odkaz:
https://doaj.org/article/c38188481632497c80c6b781adecb5ba
Autor:
Minseong Park, Yuan Yuan, Yongmin Baek, Andrew H. Jones, Nicholas Lin, Doeon Lee, Hee Sung Lee, Sihwan Kim, Joe C. Campbell, Kyusang Lee
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 3, Pp n/a-n/a (2022)
3D sensing is a primitive function that allows imaging with depth information generally achieved via the time‐of‐flight (ToF) principle. However, time‐to‐digital converters (TDCs) in conventional ToF sensors are usually bulky, complex, and ex
Externí odkaz:
https://doaj.org/article/6a925f34697d44d4bd731e460e44a30c
Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study.
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0271724 (2022)
While the recent advancements of computed tomography (CT) technology have contributed in reducing radiation dose and image noise, an objective evaluation of image quality in patient scans has not yet been established. In this study, we present a pati
Externí odkaz:
https://doaj.org/article/fb5cba01aaae4be0af7130bacc320e36
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0275531 (2022)
We propose a deep learning-assisted overscan decision algorithm in chest low-dose computed tomography (LDCT) applicable to the lung cancer screening. The algorithm reflects the radiologists' subjective evaluation criteria according to the Korea insti
Externí odkaz:
https://doaj.org/article/41f34a7983724869a3a5d4af4ad6be9b
Autor:
Hee Sung Lee, Yongmin Baek, Qiubao Lin, Joseph Minsu Chen, Minseong Park, Doeon Lee, Sihwan Kim, Kyusang Lee
Publikováno v:
Advanced Intelligent Systems, Vol 3, Iss 2, Pp n/a-n/a (2021)
Defect identification has been a significant task in various fields to prevent the potential problems caused by imperfection. There is great attention for developing technology to accurately extract defect information from the image using a computing
Externí odkaz:
https://doaj.org/article/4711d00212cb4a1d8d4e31bbd2a23a01
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 8, Iss 4, p 47 (2018)
This paper shows the first step in analog (and mixed signal) abstraction utilized in large-scale Field Programmable Analog Arrays (FPAA), encoded in the open-source SciLab/Xcos based toolset. Having any opportunity of a wide-scale utilization of ultr
Externí odkaz:
https://doaj.org/article/a70bccb5eb314218b52ae73eb70aa995
Publikováno v:
Medical Imaging 2023: Image Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cd9a6f0084edece8c65aa87f35a20fa
https://doi.org/10.1117/12.2654171
https://doi.org/10.1117/12.2654171