Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Fusheng Jin"'
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 91 (2022)
Deep learning technology has been widely applied in emitter identification. With the deepening research, the problem of emitter identification under the few-shots condition has become a frontier research direction. As a special communication signal,
Externí odkaz:
https://doaj.org/article/6cc10c9982c3402f9eb3769387e350e2
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1764 (2021)
Depth estimation can provide tremendous help for object detection, localization, path planning, etc. However, the existing methods based on deep learning have high requirements on computing power and often cannot be directly applied to autonomous mov
Externí odkaz:
https://doaj.org/article/98b3d44f512049b0a513b80747c6b0da
Publikováno v:
Future Generation Computer Systems. 142:292-300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97a50993724a376dc0a79f0b5a2d30d4
https://doi.org/10.1016/j.future.2023.01.004
https://doi.org/10.1016/j.future.2023.01.004
Publikováno v:
International Journal of Software & Informatics; 2023, Vol. 13 Issue 4, p379-397, 19p
Publikováno v:
Information Sciences. 579:814-831
In recent years, the Internet of vehicles (IoV) technology becomes a research hotspot . However, it also becomes a hotbed for malicious attacks . In the IoV, frequent data transmission and complex connections among numerous different nodes increase t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9de2564f4d2e34c49c15a8edb77dcfe7
https://doi.org/10.1016/j.ins.2021.08.010
https://doi.org/10.1016/j.ins.2021.08.010
Publikováno v:
Neural Computing and Applications. 35:3587-3595
Active learning is an effective technique to reduce the cost of labeling data by selecting the most beneficial samples. Most existing active learning methods use linear models to select the most representative points to approximate other points. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff54f3897e110d5f948372bbfa8f1144
https://doi.org/10.1007/s00521-021-06480-y
https://doi.org/10.1007/s00521-021-06480-y
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::676b2ac0e938264370db39b51e0bd1ce
https://doi.org/10.2139/ssrn.4313794
https://doi.org/10.2139/ssrn.4313794
Autor:
Dengfeng Zhou, Li Daiyuan, Liu Menglei, Zhe Wang, Huige Wei, Qinglong Jiang, Zhong Xianshuai, Fusheng Jin, Dapeng Cui
Publikováno v:
ES Food & Agroforestry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::045a2d2358a9becbbb5e81ba8ca47813
https://doi.org/10.30919/esfaf493
https://doi.org/10.30919/esfaf493
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030551292
KSEM (1)
KSEM (1)
Depth estimation from a single image plays an important role in computer vision. Using semantic information for depth estimation becomes a research hotspot. The traditional neural network-based semantic method only divides the image according to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab35b96c01980f33855a9bd6881cfa9b
https://doi.org/10.1007/978-3-030-55130-8_4
https://doi.org/10.1007/978-3-030-55130-8_4
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030551292
KSEM (1)
KSEM (1)
Higher-order clustering is a hot research topic which searches higher-order organization of networks at the level of small subgraphs (motifs). However, in bipartite networks, there are no higher-order structures such as triangles, quadrangles or cliq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::887628d7b44b44a8f7467551a3359dfd
https://doi.org/10.1007/978-3-030-55130-8_42
https://doi.org/10.1007/978-3-030-55130-8_42