Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yida Chen"'
Publikováno v:
IEEE Access, Vol 6, Pp 52195-52204 (2018)
In order to enhance the user search experience of the search engine, an intent recognition search based on natural language input is proposed. By using reality mining technology to obtain the potential consciousness information from the query express
Externí odkaz:
https://doaj.org/article/d5f834e5f5fa46f1b4ea6a8c9c48df36
Autor:
Yida Chen, Haiquan Zhao
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:3944-3948
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:1977-1981
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:654-658
Publikováno v:
Computer Science and Education ISBN: 9789819924455
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb3ab4f8c2eddf46d4d119e7f2b814c
https://doi.org/10.1007/978-981-99-2446-2_18
https://doi.org/10.1007/978-981-99-2446-2_18
Autor:
Pingping Ding, Tao Wu, Zhaoxin Zhu, Yida Chen, Xufeng Kou, Romain Corcolle, Yuxi Wang, Jangyong Kim, Yong Zhang
Publikováno v:
Advances in Materials Physics and Chemistry. 11:7-19
The study of high dielectric materials has received great attention lately as a key passive component for the application of metal-insulator-metal (MIM) capacitors. In this paper, 50 nm thick Al2O3 thin films have been prepared by atomic layer deposi
Publikováno v:
Medical Imaging 2022: Image Processing.
Autor:
Xiaoyan Zhang, Alvaro E. Ulloa Cerna, Joshua V. Stough, Yida Chen, Brendan J. Carry, Amro Alsaid, Sushravya Raghunath, David P. vanMaanen, Brandon K. Fornwalt, Christopher M. Haggerty
Use of machine learning for automated annotation of heart structures from echocardiographic videos is an active research area, but understanding of comparative, generalizable performance among models is lacking. This study aimed to 1) assess the gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2fa3b075ed192166c621830ea6a11f0
https://doi.org/10.21203/rs.3.rs-1097714/v1
https://doi.org/10.21203/rs.3.rs-1097714/v1
Autor:
Xiaoyan, Zhang, Alvaro E Ulloa, Cerna, Joshua V, Stough, Yida, Chen, Brendan J, Carry, Amro, Alsaid, Sushravya, Raghunath, David P, vanMaanen, Brandon K, Fornwalt, Christopher M, Haggerty
Publikováno v:
The international journal of cardiovascular imaging.
Use of machine learning (ML) for automated annotation of heart structures from echocardiographic videos is an active research area, but understanding of comparative, generalizable performance among models is lacking. This study aimed to (1) assess th
Autor:
Haiquan Zhao, Yida Chen
Publikováno v:
ICDSP
The total least squares (TLS) algorithm has shown good convergence performance in the errors-in-variables (EIV) model, where the input and output signals are polluted by noise at the same time. However, the convergence performance will deteriorate wh