Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Jinwoo Jeon"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Probabilistic computing has been introduced to operate functional networks using a probabilistic bit (p-bit), broadening the computational abilities in non-deterministic polynomial searching operations. However, previous developments have fo
Externí odkaz:
https://doaj.org/article/881f5ea7dc7b4dccb139eba8b5620322
Autor:
Youngmin Kim, Dohern Kym, Jun Hur, Jinwoo Jeon, Jaechul Yoon, Haejun Yim, Yong Suk Cho, Wook Chun
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0211075 (2019)
PURPOSE:The purpose of this study was to develop a new prediction model to reflect the risk of mortality and severity of disease and to evaluate the ability of the developed model to predict mortality among adult burn patients. METHODS:This study inc
Externí odkaz:
https://doaj.org/article/82217c7dad2844afbbeafc9d3cde41db
Publikováno v:
Korean Journal of Anesthesiology, Vol 66, Iss 2, Pp 153-156 (2014)
Oral dantrolene causes a dose-dependent depression of skeletal muscle contractility. A 52-year-old man treated with oral dantrolene for spasticity after spinal cord injury was scheduled to undergo irrigation and drainage of a thigh abscess under gene
Externí odkaz:
https://doaj.org/article/818ce665d3d443d289cbf9df64c22ba5
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:1706-1718
Publikováno v:
IEEE Robotics and Automation Letters. 6:5332-5339
This paper presents benchmark tests of various visual(-inertial) odometry algorithms on NVIDIA Jetson platforms. The compared algorithms include mono and stereo, covering Visual Odometry (VO) and Visual-Inertial Odometry (VIO): VINS-Mono, VINS-Fusion
Publikováno v:
2022 13th Asian Control Conference (ASCC).
Publikováno v:
Journal of KIISE. 48:325-333
Publikováno v:
Burns. 46:1848-1856
Carbapenem-resistant gram negative pathogen (CR-GNP) infection in burn patients is a growing concern since treatment options are limited and resistance to the main line of treatment, colistin, is increasing. The goal of this study was to compare trea
Feature-based visual simultaneous localization and mapping (SLAM) methods only estimate the depth of extracted features, generating a sparse depth map. To solve this sparsity problem, depth completion tasks that estimate a dense depth from a sparse d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b6157d0d07414478a4ea6e2e978cb2e
http://arxiv.org/abs/2204.13877
http://arxiv.org/abs/2204.13877
Autor:
Seunghyun Lee, Sumin Chang, Eungchang Mason Lee, Junho Choi, Jinwoo Jeon, Seoktae Kim, Hyun Myung
Publikováno v:
Robot Intelligence Technology and Applications 6 ISBN: 9783030976712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f33a870632927274f74ce6dba890bf17
https://doi.org/10.1007/978-3-030-97672-9_2
https://doi.org/10.1007/978-3-030-97672-9_2