Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Jong-arm Jun"'
Autor:
Yoon-A Choi, Se-Jin Park, Jong-Arm Jun, Cheol-Sig Pyo, Kang-Hee Cho, Han-Sung Lee, Jae-Hak Yu
Publikováno v:
Sensors, Vol 21, Iss 13, p 4269 (2021)
The emergence of an aging society is inevitable due to the continued increases in life expectancy and decreases in birth rate. These social changes require new smart healthcare services for use in daily life, and COVID-19 has also led to a contactles
Externí odkaz:
https://doaj.org/article/7dfb8ac5437043dd8cb80ec466fb6bfc
Autor:
Yoon-A Choi, Sejin Park, Jong-Arm Jun, Chee Meng Benjamin Ho, Cheol-Sig Pyo, Hansung Lee, Jaehak Yu
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1761 (2021)
Stroke is the third highest cause of death worldwide after cancer and heart disease, and the number of stroke diseases due to aging is set to at least triple by 2030. As the top three causes of death worldwide are all related to chronic disease, the
Externí odkaz:
https://doaj.org/article/6d08de533b3d4205b503786c1435780e
Publikováno v:
2021 International Conference on Information and Communication Technology Convergence (ICTC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6cfe6200eae5502cd90fef536393aa3
https://doi.org/10.1109/ictc52510.2021.9620913
https://doi.org/10.1109/ictc52510.2021.9620913
Publikováno v:
2021 International Conference on Information and Communication Technology Convergence (ICTC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a6e44b44b47d2c9d8450843476feff5
https://doi.org/10.1109/ictc52510.2021.9620837
https://doi.org/10.1109/ictc52510.2021.9620837
Publikováno v:
2021 International Conference on Platform Technology and Service (PlatCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa2b3447b412e69a828f14068f15f8ff
https://doi.org/10.1109/platcon53246.2021.9680753
https://doi.org/10.1109/platcon53246.2021.9680753
Publikováno v:
2021 International Conference on Platform Technology and Service (PlatCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c15cb45bdf3f3e308249cd959bdc244
https://doi.org/10.1109/platcon53246.2021.9680756
https://doi.org/10.1109/platcon53246.2021.9680756
Publikováno v:
2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN).
In this paper, we propose a stroke medical ontology that provides medical knowledge to accompany AI-based stroke disease prediction system's results that were arrived at based on EMG information. This system was developed as a result of the limitatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e66fc9a1a5a43e6b574df3de06d78b0e
https://doi.org/10.1109/icufn49451.2021.9528529
https://doi.org/10.1109/icufn49451.2021.9528529
Autor:
Se Jin Park, Cheol-Sig Pyo, Yoon-A. Choi, Chee Meng Benjamin Ho, Hansung Lee, Jaehak Yu, Jong-Arm Jun
Publikováno v:
Applied Sciences, Vol 11, Iss 1761, p 1761 (2021)
Applied Sciences; Volume 11; Issue 4; Pages: 1761
Applied Sciences; Volume 11; Issue 4; Pages: 1761
Stroke is the third highest cause of death worldwide after cancer and heart disease, and the number of stroke diseases due to aging is set to at least triple by 2030. As the top three causes of death worldwide are all related to chronic disease, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c40d15c22390c70f288ba0f8d25cc469
https://www.mdpi.com/2076-3417/11/4/1761
https://www.mdpi.com/2076-3417/11/4/1761
Publikováno v:
ICTC
Explainable AI is a technology field that has recently emerged. Currently, deep learning technology shows high accuracy in many areas. However, despite its high accuracy, there are areas where technology cannot be utilized without sufficient explanat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3cfc8e1911231d61dcc7e82483c6ea4
https://doi.org/10.1109/ictc49870.2020.9289340
https://doi.org/10.1109/ictc49870.2020.9289340
Publikováno v:
ICTC
we propose a hierarchical context awareness method based on human activity recognition (HAR). More specifically, the smart phone collects sensor data including wearable devices and peripheral IoE sensors, classifies the user’s simple actions based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e11150fe64120bbbccf7c058f101738
https://doi.org/10.1109/ictc46691.2019.8940020
https://doi.org/10.1109/ictc46691.2019.8940020