Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Min Chi Chiu"'
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100183- (2023)
Explainable artificial intelligence (XAI) tools are used to enhance the applications of existing artificial intelligence (AI) technologies by explaining their execution processes and results. In most past research, XAI tools and techniques are typica
Externí odkaz:
https://doaj.org/article/4cfe0aed01e04832b690e10f6e2a26c7
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100147- (2023)
Artificial intelligence (AI) technologies have been widely applied in medicine and healthcare. Explainable AI (XAI) has been proposed to make AI applications more transparent and efficient. This study applies some simple cross-domain tools and techni
Externí odkaz:
https://doaj.org/article/af7ecc7204a445ed80d9d18d33626a87
Publikováno v:
Digital Health, Vol 9 (2023)
A smart healthcare application can be judged as sustainable if it was already widely used before and will also be prevalent in the future. In contrast, if a smart healthcare application developed during the COVID-19 pandemic is not used after it, the
Externí odkaz:
https://doaj.org/article/731de3ad36e7454eb9cc3e80fdabcd78
Autor:
Tin-Chih Toly Chen, Min-Chi Chiu
Publikováno v:
Digital Health, Vol 8 (2022)
During the COVID-19 pandemic, some smart technology applications were more effective than had been expected, whereas some others did not achieve satisfactory performance. Consequently, whether smart technology applications in healthcare are sustainab
Externí odkaz:
https://doaj.org/article/048d762cb85d48fb866bc4584f214714
Autor:
Min-Chi Chiu, Tin-Chih Toly Chen
Publikováno v:
Digital Health, Vol 8 (2022)
A ubiquitous healthcare (UH) system of multiple 3D printing facilities is established in this study for making dentures. The UH system receives orders from dental clinics, and then distributes the dentures to be printed among 3D printing facilities t
Externí odkaz:
https://doaj.org/article/210a5fcee55f45ee8e154bf0cf9c6cbd
Publikováno v:
PLoS ONE, Vol 17, Iss 2, p e0264569 (2022)
Fatigue is a major cause of exercise-induced muscle damage (EIMD). Compression garments (CGs) can aid post-exercise recovery, therefore, this study explored the effects of CGs on muscular efficacy, proprioception, and recovery after exercise-induced
Externí odkaz:
https://doaj.org/article/52ea4e3d71e84360a96ced912641d843
Publikováno v:
Interactive Learning Environments. :1-26
Publikováno v:
Axioms, Vol 10, Iss 4, p 282 (2021)
This study discusses how to fuzzify a feedforward neural network (FNN) to generate a fuzzy forecast that contains the actual value, while minimizing the average range of fuzzy forecasts. This topic has rarely been investigated in past studies, but is
Externí odkaz:
https://doaj.org/article/cdb8e72e753f460aa8a4319787596fe2
Publikováno v:
British Journal of Educational Technology. 54:603-621
Publikováno v:
Interactive Learning Environments. :1-19