Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Huanda Lu"'
Publikováno v:
Mathematics, Vol 11, Iss 1, p 96 (2022)
The development of big data technologies, which have been applied extensively in various areas, has become one of the key factors affecting modern society, especially in the virtual reality environment. This paper provides a comprehensive survey of t
Externí odkaz:
https://doaj.org/article/987d8f41d5dd403582d24d2b492b87db
Publikováno v:
Aquaculture Reports, Vol 20, Iss , Pp 100664- (2021)
Fish challenged with pathogens often show behavioral disorders. The present study investigated the influence of Aeromonas salmonicida infection on the body color changes of Atlantic salmon (Salmo salar L.). In both conditions of a white background an
Externí odkaz:
https://doaj.org/article/806d1d35233b42b6af4b974e28be3b0d
Publikováno v:
Applied Sciences, Vol 8, Iss 4, p 523 (2018)
Hyperspectral imaging is a non-destructive method for the detection of chilling injury in fruit. However, the limitation of this technique is the lacking of an appropriate working parameters and a feasible discriminating model for chilling on-line so
Externí odkaz:
https://doaj.org/article/9501407ff9ef4d98b6e6801ef16d8c17
Publikováno v:
Aquaculture Research. 53:1404-1412
Publikováno v:
Computers and Electronics in Agriculture. 208:107778
Publikováno v:
SSRN Electronic Journal.
This paper proposes a VR supermarket with an intelligent recommendation, which consists of three parts. The VR supermarket, the recommendation system, and the database. The VR supermarket provides a 360-degree virtual environment for users to move an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ab4fefbf99546958751cd27171a35b
Publikováno v:
Knowledge-Based Systems. 260:110171
Autor:
Huanda Lu, Weiwei Song, Kewen Peng, Chunlin Wang, Li Ronghua, Wang Jiechi, Lei Liu, Huan Wang, Ce Shi
Publikováno v:
Aquaculture Research. 50:2735-2742
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