Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yiqiang Feng"'
Publikováno v:
Insects, Vol 15, Iss 9, p 667 (2024)
We propose a cotton pest and disease recognition method, SpemNet, based on efficient multi-scale attention and stacking patch embedding. By introducing the SPE module and the EMA module, we successfully solve the problems of local feature learning di
Externí odkaz:
https://doaj.org/article/c63c609bcb894ff08252a8d1f74ff75c
Publikováno v:
International Journal of Crowd Science, Vol 5, Iss 1, Pp 81-91 (2021)
PurposeThe originality of the crowd cyber system lies in the fact that it possesses the intelligence of multiple groups including intelligence of people, intelligence of objects and intelligence of machines. However, quantitative analysis of the leve
Externí odkaz:
https://doaj.org/article/8e6cf82602de49b680f15494c79e6c6f
Autor:
Yiqiang Feng
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71658500c7eb7c0d03c6516334d2a41d
https://doi.org/10.2139/ssrn.4334567
https://doi.org/10.2139/ssrn.4334567
Publikováno v:
International Journal of Crowd Science. 5:81-91
Purpose The originality of the crowd cyber system lies in the fact that it possesses the intelligence of multiple groups including intelligence of people, intelligence of objects and intelligence of machines. However, quantitative analysis of the lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e3e5fb114dbf3f534c1b935f3ab254c
https://doi.org/10.1108/ijcs-09-2020-0015
https://doi.org/10.1108/ijcs-09-2020-0015
Publikováno v:
5th International Conference on Crowd Science and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23d9ea511d609014ea2135b680ee6778
https://doi.org/10.1145/3503181.3503190
https://doi.org/10.1145/3503181.3503190