Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Hyunbum, Kim"'
Publikováno v:
Heliyon, Vol 10, Iss 24, Pp e40748- (2024)
Introduction: Laryngeal cancer diagnosis relies on specialist examinations, but non-invasive methods using voice data are emerging with artificial intelligence (AI) advancements. Mel Frequency Cepstral Coefficients (MFCCs) are widely used for voice a
Externí odkaz:
https://doaj.org/article/8bec2a84181841109003c138ce1f8bd8
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract To prevent immediate mortality in patients with a tracheostomy tube, it is essential to ensure timely suctioning or replacement of the tube. Breathing sounds at the entrance of tracheostomy tubes were recorded with a microphone and analyzed
Externí odkaz:
https://doaj.org/article/16f5876cefbf456597a8bdb55fa359ac
Autor:
Youtao Lu, Jaehee Lee, Jifen Li, Srinivasa Rao Allu, Jinhui Wang, HyunBum Kim, Kevin L. Bullaughey, Stephen A. Fisher, C. Erik Nordgren, Jean G. Rosario, Stewart A. Anderson, Alexandra V. Ulyanova, Steven Brem, H. Isaac Chen, John A. Wolf, M. Sean Grady, Sergei A. Vinogradov, Junhyong Kim, James Eberwine
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-19 (2023)
Abstract Genomic DNA (gDNA) undergoes structural interconversion between single- and double-stranded states during transcription, DNA repair and replication, which is critical for cellular homeostasis. We describe “CHEX-seq” which identifies the
Externí odkaz:
https://doaj.org/article/2d577bcc2fbc42bdb820b2ed40c2f17f
Publikováno v:
ICT Express, Vol 9, Iss 4, Pp 754-760 (2023)
It is highly necessary that a barrier of virtual emotion detection for surveillance reinforcement aims to fit with multi districts instead of only single area. This paper proposes a trustworthy clash-free surveillance framework using virtual emotion
Externí odkaz:
https://doaj.org/article/661331b06b6b4682ab94c78021bb1f3b
Post-stroke respiratory complications using machine learning with voice features from mobile devices
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Abnormal voice may identify those at risk of post-stroke aspiration. This study was aimed to determine whether machine learning algorithms with voice recorded via a mobile device can accurately classify those with dysphagia at risk of tube f
Externí odkaz:
https://doaj.org/article/16d9cff8a3a849cf8f31eb4c1bc418c9
Autor:
Taewoo Lee, Hyunbum Kim
Publikováno v:
Sensors, Vol 24, Iss 2, p 595 (2024)
This paper introduces an efficient barrier model for enhancing smart building surveillance in harsh environment with thin walls and structures. After the main research problem of minimizing the total number of wall-recognition surveillance barriers,
Externí odkaz:
https://doaj.org/article/8a8b1f13095e4b5a9f0dd6f31f218d49
Autor:
Yumin Choi, Hyunbum Kim
Publikováno v:
Drones, Vol 7, Iss 4, p 279 (2023)
Barriers are utilized for various tasks in security, environmental monitoring, penetration detection and reconnaissance. It is highly necessary to consider how to support pedestrian tracking and target detection in theme park areas having multiple ob
Externí odkaz:
https://doaj.org/article/9aaec0086b8143e2b339577b198fb498
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Pericytes are mesenchymal-derived mural cells that wrap around capillaries and directly contact endothelial cells. Present throughout the body, including the cardiovascular system, pericytes are proposed to have multipotent cell-like properties and a
Externí odkaz:
https://doaj.org/article/b849e32e14b448739ebc7df6c8ae855e
Publikováno v:
Drones, Vol 7, Iss 3, p 159 (2023)
In this article, we introduce a cooperative obstacle-aware surveillance system for virtual emotion intelligence which is supported by low energy configuration with the minimal wasted communication cost in self-sustainable network with 6G components.
Externí odkaz:
https://doaj.org/article/7a650abd1d9140c089b5c9f67a85577b
Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives
Publikováno v:
Sensors, Vol 23, Iss 2, p 806 (2023)
In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure of virtual emotion and epidemic prevention with two differential perspectives: Green AI and Red AI, where Green AI focuses on efficiency and reduction, and
Externí odkaz:
https://doaj.org/article/17838a1eb8774c2cb566e364c3be676c