Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zhangkai Wu"'
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 9013 (2023)
Sesame oil is a food and energy resource that is not used enough. Sedimentation of crude oil after pressing can remove particles and happens regardless of the producer’s intention. However, sedimentation of crude plant oil and its sensing technolog
Externí odkaz:
https://doaj.org/article/d6ff9f5f9b5c4afbad035e26b6710fbd
Publikováno v:
Postharvest Biology and Technology. 200:112329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c78c588a8518ca34d13ea0a00cda6bd8
https://doi.org/10.1016/j.postharvbio.2023.112329
https://doi.org/10.1016/j.postharvbio.2023.112329
Publikováno v:
International Journal of Data Science and Analytics. 10:205-213
Bayesian network (BN), which is an effective probabilistic graphical model with strong characteristics of practicality and applicability, is often used for real-world faults diagnosis. However, most of the existing BN-based studies merely analyze how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98f80f2a66b2de76759037ab23474d2a
https://doi.org/10.1007/s41060-019-00202-3
https://doi.org/10.1007/s41060-019-00202-3
Publikováno v:
Pattern Recognition. 116:107935
Prototype-based few-shot learning methods are promising in that they are simple yet effective to handle any-shot problems, and many prototype associated works are raised since then. However, these traditional prototype-based methods generally use onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::803b9918f3c8d2c0bfa7d16976159b48
https://doi.org/10.1016/j.patcog.2021.107935
https://doi.org/10.1016/j.patcog.2021.107935
Publikováno v:
AAAI
To address the annotation scarcity issue in some cases of semantic segmentation, there have been a few attempts to develop the segmentation model in the few-shot learning paradigm. However, most existing methods only focus on the traditional 1-way se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d0a4ab4b730bddd086ad3c873338cba
