Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Tzu-Liang (Bill) Tseng"'
Autor:
Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho
Publikováno v:
Diagnostics, Vol 14, Iss 16, p 1699 (2024)
The class activation map (CAM) represents the neural-network-derived region of interest, which can help clarify the mechanism of the convolutional neural network’s determination of any class of interest. In medical imaging, it can help medical prac
Externí odkaz:
https://doaj.org/article/478dda27636042f9a84eb847defb046d
Autor:
Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang (Bill) Tseng
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100365- (2022)
Providing timely patient care while maintaining optimal resource utilization is one of the central operational challenges hospitals have been facing throughout the pandemic. Hospital length of stay (LOS) is an important indicator of hospital efficien
Externí odkaz:
https://doaj.org/article/e5f0b52831bf4976a1697e422f92afea
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 6 (2016)
To explore the relationship between characteristics and decision-making outcomes of the tourist is critical to keep competitive tourism business. In investigation of tourism development, most of the existing studies lack of a systematic approach to a
Externí odkaz:
https://doaj.org/article/a6ab5679c54d4cac9fbe06754dee5134
Autor:
Richard Y. Chiou, Yongjin (James) Kwon, Tzu-Liang (Bill) Tseng, Robin Kizirian, Yueh-Ting Yang
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 9, Iss 1, Pp 8-13 (2011)
Following the design and testing of a successful 3-Dimensional surveillance system, this 3D scheme has been implemented into online robotics learning at Drexel University. A real-time application, utilizing robot controllers, programmable logic contr
Externí odkaz:
https://doaj.org/article/80e89bdc1a554fd2a5b7431ce289dda8
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 8, Iss 3, Pp 46-51 (2010)
This paper discusses a real-time e-Lab Learning system based on the integration of 3D visualization technology with a remote robotic laboratory. With the emergence and development of the Internet field, online learning is proving to play a significan
Externí odkaz:
https://doaj.org/article/cabadac5ae4a43dcb3a75dc5e1547866
Publikováno v:
International Journal of Systems Science: Operations & Logistics. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3ecec2bd91d02c41fdb4b52eaac58e0
https://doi.org/10.1080/23302674.2022.2075043
https://doi.org/10.1080/23302674.2022.2075043
Autor:
Jaime E. Regis, Anabel Renteria, David Espalin, Yirong Lin, Luis C. Delfin, Victor H. Balcorta, Tzu-Liang (Bill) Tseng, Dayna Ortiz, Luisa F. Garcia, Mariana Marcos-Hernández
Publikováno v:
Ceramics International. 47:18477-18486
Barium titanate (BaTiO3) is a lead-free piezoelectric ceramic widely used in sensors and actuators applications. However, there are many manufacturing challenges to process BaTiO3 due to the brittle nature of ceramics. Most current sensors based on p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5f9e7ca7b461953c5f1a9f99c155d9d
https://doi.org/10.1016/j.ceramint.2021.03.171
https://doi.org/10.1016/j.ceramint.2021.03.171
Publikováno v:
Decision Analysis. 18:121-138
Consumer attitudes toward probabilistic goods are affected not only by their personal preferences, but also by their risk propensity. However, because the probability of obtaining their preferred items is determined by the retailer, consumers must se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95b37fd9b95b5d0fa4288afdf2dbacd8
https://doi.org/10.1287/deca.2021.0427
https://doi.org/10.1287/deca.2021.0427
Autor:
Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng
Publikováno v:
Journal of X-ray science and technology. 30(5)
BACKGROUND: With the emergence of continuously mutating variants of coronavirus, it is urgent to develop a deep learning model for automatic COVID-19 diagnosis at early stages from chest X-ray images. Since laboratory testing is time-consuming and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7874315eb91534242d2b274a4ce178
https://pubmed.ncbi.nlm.nih.gov/35634810
https://pubmed.ncbi.nlm.nih.gov/35634810