Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Keyuan Tang"'
Publikováno v:
Waike lilun yu shijian, Vol 26, Iss 03, Pp 262-268 (2021)
Objective To analyze serum exosome using proteomic in mice with Candida albicans infection and to find out marker. Methods Mice model of Candida albicans infection was established by injection of Candida albicans liquid through tail vein. Exosome in
Externí odkaz:
https://doaj.org/article/a1c47dbd3a944dcc892d3e18be118906
Publikováno v:
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI).
The accuracy of target locating for vision-based robots would be affect by environment factors such as light. In order to solve the problem, we proposed a target locating method based on binocular vision locating technology, together with laser scann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a13f040c18eeac97cb81877e9ab9c8d3
https://doi.org/10.1109/icceai52939.2021.00084
https://doi.org/10.1109/icceai52939.2021.00084
Publikováno v:
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI).
Fatigue driving is one of the main causes of traffic accidents, and it has a great impact on road safety. One of the most effective fatigue driving detection methods is based on the machine vision using the characteristics of driver's eye. However, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d06b967eaa4e44f09445b811cfc68111
https://doi.org/10.1109/icceai52939.2021.00018
https://doi.org/10.1109/icceai52939.2021.00018
Publikováno v:
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI).
The accuracy of gait recognition method would be affected by the occlusion of clothing object being carried. To overcome the problem, this paper adopted the method based on CNN(Convolutional neural network) and LSTM(Long and short term memory network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8f36ff28559bd6d0d0f2a287e29e5b3
https://doi.org/10.1109/icceai52939.2021.00080
https://doi.org/10.1109/icceai52939.2021.00080