Zobrazeno 1 - 10
of 389
pro vyhledávání: '"Min-soo Kang"'
Autor:
Min-Soo Kang, Hye-Young Jang
Publikováno v:
Asian Nursing Research, Vol 18, Iss 4, Pp 393-400 (2024)
SUMMARY: Purpose: This study was conducted to obtain in-depth understanding of the life experiences of college students who attempted suicide. Methods: This study employed qualitative methods involving in-depth interviews, where researchers and parti
Externí odkaz:
https://doaj.org/article/8cf0c3bf03ce4e8083321e2907764235
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7465 (2024)
In this study, the development of a deep learning approach for distinguishing cardiomegaly in chest X-ray images and its validation process are presented. Typically, radiologists diagnose cardiomegaly by examining X-ray images. However, their interpr
Externí odkaz:
https://doaj.org/article/120ededb28604631bae258790dedb192
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 11, Pp 216-229 (2023)
Electron mobility in extremely-thin-body (ETB) nanosheet channels and at cryogenic temperature is known to be dominated by surface roughness scattering. However, the conventional model of surface roughness scattering lacks accuracy because it require
Externí odkaz:
https://doaj.org/article/81e6fa2d72d5467dbfdde78eb170d7a4
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3117 (2024)
Sleep apnea has emerged as a significant health issue in modern society, with self-diagnosis and effective management becoming increasingly important. Among the most renowned methods for self-diagnosis, the STOP-BANG questionnaire is widely recognize
Externí odkaz:
https://doaj.org/article/114459f13c884fcdac069ff710efcc10
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 414 (2024)
Edge computing can provide core functions such as data collection and analysis without connecting to a centralized server. The convergence of edge computing and IoT devices has enabled medical institutions to collect patient data in real time, improv
Externí odkaz:
https://doaj.org/article/1110b2c4cd9641a9b53a2ce18f597c30
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12803 (2023)
This study examines the use of meta-heuristic algorithms, specifically particle swarm optimization and genetic algorithms, for optimizing thermal systems, addressing a research gap on their efficacy in larger systems. Utilizing MATLAB’s Simulink an
Externí odkaz:
https://doaj.org/article/939f54af9ee642d584f0bb8dde8c6a6a
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
This study evaluates the mechanical strength of 3D-printed objects of composite material. The composite material considered in this study comprises onyx as the base material with glass fiber and carbon fiber as the internal reinforcements. 3D printin
Externí odkaz:
https://doaj.org/article/9693f4c15a9249b8b863e76037405899
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10129 (2023)
In this study, we applied an optimal deep learning algorithm to detect defects in OLED cells. This study aims to enhance the yield of OLEDs by reducing the number of defective products through defect detection in OLED cells. Defects in OLED cells can
Externí odkaz:
https://doaj.org/article/85ac60bad612457db811659ded87e81a
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8016 (2023)
In this study, we demonstrate the viability of applying artificial intelligence (AI) techniques to conduct inspections at the OLED cell level using simulated data. The implementation of AI technologies necessitates training data, which we addressed b
Externí odkaz:
https://doaj.org/article/d7b4dec1c5f4400e813602858ead5ea7
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3638 (2023)
The elastic properties of polypropylene (PP) and ultra-high molecular weight polyethylene (UHMWPE) textile composites were predicted using finite element analysis (FEA). A three-dimensional (3D) model of composites was generated by introducing a clot
Externí odkaz:
https://doaj.org/article/57b0edafaf0f4b96bbaa73f7e14ceed6