Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yuanying Qu"'
Publikováno v:
Sensors, Vol 21, Iss 24, p 8403 (2021)
Large interactive displays can provide suitable workspaces for learners to conduct collaborative learning tasks with visual information in co-located settings. In this research, we explored the use of these displays to support collaborative engagemen
Externí odkaz:
https://doaj.org/article/11c279647e8540ffb2555350d2e4b913
Autor:
Yuanying Qu, Xinheng Wang
Publikováno v:
2022 Human-Centered Cognitive Systems (HCCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51dac0c0ef15100233e0b5a982059b85
https://doi.org/10.1109/hccs55241.2022.10090383
https://doi.org/10.1109/hccs55241.2022.10090383
Publikováno v:
Advances in Medical Technologies and Clinical Practice ISBN: 9781668450925
In acoustic sensing techniques, acoustic sensors use the main functionality, namely recording and playing the sound, to explore related research and achieve various applications along with novel user experiences. Acoustic sensing is developed in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c38790be893ad0b1d016745b2008ed6
https://doi.org/10.4018/978-1-6684-5092-5.ch006
https://doi.org/10.4018/978-1-6684-5092-5.ch006
Autor:
Chang Liu, Yan Wu, Guoxin Lan, Xiaopeng Ji, Yaping Xia, Chuan Fu, Jia Shen, Jiacheng Gui, Yuting Liu, Yuanying Qu, Hanyu Peng
Publikováno v:
Journal of Environmental Chemical Engineering. 10:108318
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23eb988fedd19f5701b88ee317fe82c3
https://doi.org/10.1016/j.jece.2022.108318
https://doi.org/10.1016/j.jece.2022.108318
Publikováno v:
CSAI
Proteins are an essential component in the cell where the functions are executed to enable life. At present, the manual evaluation and classification of protein images is not practical given the current situation for generated images on a large scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95fa702f037022c70fa2af3cc409ad10
https://doi.org/10.1145/3374587.3374617
https://doi.org/10.1145/3374587.3374617
Publikováno v:
CISP-BMEI
Self-diagnose becomes an important research topic and hot web application. It relies on patients' own description about their conditions. Finding relationship between patients' complain and the possible diseases is the key. This paper reports our eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da3065088b53647b0319e37a306a3855
https://doi.org/10.1109/cisp-bmei48845.2019.8965949
https://doi.org/10.1109/cisp-bmei48845.2019.8965949
Publikováno v:
CISP-BMEI
Auto-generation of Electronic Health Record (EHR) is a difficult problem in intelligent medical diagnose and health care. This paper proposes a BiLSTM-CNN attention model which directly reads patients' complaints and generates EHRs. The BiLSTM-CNN at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d39e42430c1156734be24ca5acb87b
https://doi.org/10.1109/cisp-bmei48845.2019.8965711
https://doi.org/10.1109/cisp-bmei48845.2019.8965711