Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Joonsang Yu"'
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
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology, Vol 3, Pp s5-s5 (2023)
Objectives: Laboratory-acquired infection (LAI) of SARS-CoV is well known, but MERS-CoV or SARS-CoV-2 LAI has not yet been reported. Beginning last November, COVID-19 cases increased among laboratory staff at our 2,700-bed tertiary-care hospital. A 7
Externí odkaz:
https://doaj.org/article/9cb6b49b8ce5478a97c6fa38b1545394
Publikováno v:
Annals of Laboratory Medicine; Mar2024, Vol. 44 Issue 2, p188-191, 4p
Publikováno v:
Journal of Laboratory Medicine and Quality Assurance. 44:174-180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36170743c38c2b0b880d7a7ef22f8c71
https://doi.org/10.15263/jlmqa.2022.44.3.174
https://doi.org/10.15263/jlmqa.2022.44.3.174
Autor:
Joonsang Yu, Jin Seok Kim, John Jeonseok Yang, Yousun Chung, Hyungsuk Kim, Sang-Hyun Hwang, Heung-Bum Oh, Hee-Jeong Youk, Dae-Hyun Ko
Publikováno v:
Laboratory Medicine Online. 12:205-208
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d528888efd73d86084f567034306eb
https://doi.org/10.47429/lmo.2022.12.3.205
https://doi.org/10.47429/lmo.2022.12.3.205
Publikováno v:
AAAI
This paper proposes network recasting as a general method for network architecture transformation. The primary goal of this method is to accelerate the inference process through the transformation, but there can be many other practical applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eab3c6419b749bbd9fdf14f36555d7a
https://doi.org/10.1609/aaai.v33i01.33015701
https://doi.org/10.1609/aaai.v33i01.33015701
Publikováno v:
DAC
To cope with the ever-increasing computational demand of the DNN execution, recent neural architecture search (NAS) algorithms consider hardware cost metrics into account, such as GPU latency. To further pursue a fast, efficient execution, DNN-specia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e38c3b219ad006be19eb4f790183717d
http://arxiv.org/abs/2009.06237
http://arxiv.org/abs/2009.06237
Publikováno v:
DAC
The training process of a deep neural network commonly consists of three phases: forward propagation, backward propagation, and weight update. In this paper, we propose a hardware architecture to accelerate the backward propagation. Our approach appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c5703856797d6ad37ca76a543c7b946
https://doi.org/10.1145/3316781.3317755
https://doi.org/10.1145/3316781.3317755
Publikováno v:
Journal of Signal Processing Systems. 88:297-309
Signed-digit adder, which eliminates carry propagation chain, can execute addition operation independent of the length of operands, in constant time. The confined carry propagation implies remarkable advantage in terms of error detection, localizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b6e6723d320b188d005b1f8088a08db
https://doi.org/10.1007/s11265-016-1162-1
https://doi.org/10.1007/s11265-016-1162-1
Publikováno v:
ISOCC
Residual network is a commonly used convolutional neural network, but as the network becomes wider and deeper, it is becoming more difficult for IoT devices or embedded systems to adopt it due to their hardware constraints. Network compression using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f37435567f2c92a5285222b2a88bb58
https://doi.org/10.1109/isocc.2018.8649890
https://doi.org/10.1109/isocc.2018.8649890