Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zhang, Fengdeng"'
Autor:
Wei, Dan, Zhang, Fengdeng, Ye, Zhangying, Zhu, Songming, Ji, Daxiong, Zhao, Jian, Zhou, Fan, Ding, Xueyan
Publikováno v:
In Artificial Intelligence in Agriculture 2021 5:118-124
Autor:
Zhao, Jian, Bao, Weijun, Zhang, Fengdeng, Zhu, Songming, Liu, Ying, Lu, Huanda, Shen, Mingwei, Ye, Zhangying
Publikováno v:
In Aquaculture 1 August 2018 493:165-175
Autor:
Wang, Shuo, Bao, Weijun, Zhang, Fengdeng, Qi, Fanyu, Nan, Songjian, He, Jinsong, Zhu, Songming, Ye, Zhangying
Publikováno v:
In Journal of Cleaner Production 10 February 2018 174:1136-1146
Autor:
Zhang, Dinghui, Zhang, Fengdeng
Publikováno v:
In Optik - International Journal for Light and Electron Optics January 2014 125(2):717-720
Autor:
Hu, Haijiang, Zhang, Fengdeng
Publikováno v:
In Optik - International Journal for Light and Electron Optics August 2012 123(15):1322-1325
Autor:
Zhang Fengdeng, Songming Zhu, Jian Zhao, Daxiong Ji, Fan Zhou, Dan Wei, Zhangying Ye, Xueyan Ding
Publikováno v:
Artificial Intelligence in Agriculture, Vol 5, Iss, Pp 118-124 (2021)
The feeding method is of great significance for aquaculture production and cost. In recent years, research on intelligent feeding, a method based on fish appetite, has been trending. Few studies, however, have focused on fish welfare issues that can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1baf88e50bf32d34b0ac55e9cd787516
http://www.sciencedirect.com/science/article/pii/S2589721721000167
http://www.sciencedirect.com/science/article/pii/S2589721721000167
Autor:
Zhangying Ye, Huanda Lu, Bao Weijun, Songming Zhu, Mingwei Shen, Ying Liu, Zhang Fengdeng, Jian Zhao
Publikováno v:
Aquaculture. 493:165-175
Aiming at the accurate monitoring of the local unusual behaviors of fish school in intensive aquaculture, a novel and practical method, mainly based on the modified motion influence map and recurrent neural network (RNN), was proposed in this study t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2234b7f946d44ccb6015bc260fcd1d2
https://doi.org/10.1016/j.aquaculture.2018.04.064
https://doi.org/10.1016/j.aquaculture.2018.04.064
Publikováno v:
Transactions of the ASABE. 61:699-710
Aiming at live fish identification in aquaculture, a practical and efficient semi-supervised learning model, based on modified deep convolutional generative adversarial networks (DCGANs), was proposed in this study. Benefiting from the modified DCGAN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6dc7b5b82747469aa8a9ad269d2fefb
https://doi.org/10.13031/trans.12684
https://doi.org/10.13031/trans.12684
Publikováno v:
Journal of Electrical & Computer Engineering; 2/20/2020, p1-7, 7p
Publikováno v:
2015 Sixth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA).
With the advent of multi-core platforms in embedded devices, there is a reviving interest in scheduling algorithms for multiprocessor real-time systems. Boundary fair (Bfair) is a optimal scheduling algorithm that can fully utilize all cores as the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6805744f55aaf3c7fc144f899a61ff07
https://doi.org/10.1109/isdea.2015.95
https://doi.org/10.1109/isdea.2015.95