Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jonghee Jung"'
Autor:
Jonghee Jung, Ji Ho Ryu, Seungwoo Shon, Munki Min, Tae Gyu Hyun, Mose Chun, Daesup Lee, Minjee Lee
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract It is important to predict the neurological prognoses of in-hospital cardiac arrest (IHCA) patients immediately after recovery of spontaneous circulation (ROSC) to make further critical management. The aim of this study was to confirm the us
Externí odkaz:
https://doaj.org/article/2b590ecb6f0844689744da370295b39a
Autor:
YeongHyeon Park, JongHee Jung
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 17:1648-1656
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4d8582d4d0c9e8bd262de446704c7c
https://doi.org/10.1002/tee.23672
https://doi.org/10.1002/tee.23672
Autor:
Jonghee Jung, Min Jee Lee, Ji Ho Ryu, Seungwoo Shon, Munki Min, Tae Gyu Hyun, Mose Chun, Daesup Lee
Background The Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) and Good Outcome Following Attempted Resuscitation (GO-FAR) scores are used for predicting the outcomes of cardiac arrest. The CASPRI score was developed for the predictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0aeac51c9271bc66f7837db47cb06a2
https://doi.org/10.21203/rs.3.rs-1934526/v1
https://doi.org/10.21203/rs.3.rs-1934526/v1
Autor:
Lee， Geon-Geun, Jonghee Jung
Publikováno v:
The Journal of Humanities and Social sciences 21. 11:717-730
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af9c82b6faf2702898faf4501846306
https://doi.org/10.22143/hss21.11.2.49
https://doi.org/10.22143/hss21.11.2.49
Autor:
YeongHyeon Park, JongHee Jung
Publikováno v:
2021 IEEE 3rd International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH).
Road accident can be triggered by wet road because it decreases skid resistance. To prevent the road accident, detecting road surface abnomality is highly useful. In this paper, we propose the deep learning based cost-effective real-time anomaly dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2073ffbfe29a857381c642ee12d1d86b
https://doi.org/10.1109/icaceh54312.2021.9768853
https://doi.org/10.1109/icaceh54312.2021.9768853
Publikováno v:
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology. 6:519-528
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81f3792d2c077b64d5ba99a3d5008bf6
https://doi.org/10.14257/ajmahs.2016.11.50
https://doi.org/10.14257/ajmahs.2016.11.50