Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shengyao Guo"'
Autor:
Hao Chen, Nian Liu, Li Huang, Dongxin Huai, Rirong Xu, Xiangyu Chen, Shengyao Guo, Jianhong Chen, Huifang Jiang
Publikováno v:
Plants, Vol 13, Iss 17, p 2368 (2024)
Peanut (Arachis hypogaea L.) is a great plant protein source for human diet since it has high protein content in the kernel. Therefore, seed protein content (SPC) is considered a major agronomic and quality trait in peanut breeding. However, few gene
Externí odkaz:
https://doaj.org/article/1465ecbde9614920bcb99007158326c3
Autor:
Linmei Ye, Tao Wang, Renye Wu, Conghui Zheng, Liuqi Zhan, Jianhong Chen, Shengyao Guo, Yongkuai Chen
Publikováno v:
Agronomy, Vol 14, Iss 8, p 1699 (2024)
Low-temperature stress is one of the factors affecting the growth and development of peanuts. Currently, biochemical detection technologies for crop freeze damage are well established. In the context of rapid development in optical sensing technology
Externí odkaz:
https://doaj.org/article/186705828b3d4c568b5ba5a6f9ed079d
Autor:
Vivian Meng, Qiming Chen, Si Wu, Shengyao Guo, Pamela C. Cosman, Yalun Zheng, Eric Ho, John Cao, Nikhita Devgan, Leanne Chukoskie
Publikováno v:
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, vol 10, iss 4
IEEE Transactions on Cognitive and Developmental Systems, vol 10, iss 4
IEEE Transactions on Cognitive and Developmental Systems, vol 10, iss 4
As technologies develop for acquiring gaze behavior in real world social settings, robust methods are needed that minimize the time required for a trained observer to code behaviors. We record gaze behavior from a subject wearing eye-tracking glasses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7d5e998d0e7a6b95d41a4525581a929
https://doi.org/10.1109/tcds.2018.2821566
https://doi.org/10.1109/tcds.2018.2821566
Autor:
Shengyao GUO1 guoshengyao409@163.com, Jianhong CHEN1, Yu XIAO1, Jinxian WANG1, Ruyan CHEN1, Yongshui CHEN1 quanhua0595@163.com
Publikováno v:
Agricultural Science & Technology. Oct2015, Vol. 16 Issue 10, p2309-2313. 5p.
Autor:
John Cao, Shengyao Guo, Si Wu, Eric Ho, Vivian Meng, Pamela C. Cosman, Leanne Chukoskie, Yalun Zheng, Qiming Chen
Publikováno v:
ISBI
Quantifying gaze is important in various realms, such as evaluating atypical social looking behavior in autism spectrum disorder. This paper reports on a system that uses eye-tracking glasses and object/face detection to quantify looks. The algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac676230e183e57aacfab5edfbf259c6
https://doi.org/10.1109/isbi.2018.8363773
https://doi.org/10.1109/isbi.2018.8363773