Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Quansheng Dou"'
Publikováno v:
Tongxin xuebao, Vol 44, Pp 249-259 (2023)
In order to address the issue of rapid growth of program space in SQUARES, which led to low efficiency in program synthesis, a program space reducer based on deep neural network (DNN) was introduced into the SQUARES framework.A given ＆lt;Queried ta
Externí odkaz:
https://doaj.org/article/378cde62a56040e899e7a606e1119f6e
Publikováno v:
Tongxin xuebao, Vol 40, Pp 180-194 (2019)
Concurrent transmission technology has important sense for Intelligent Sensing System (ISS).The C3S strategy based with constructive interference (CI) was proposed.C3S was composed of intelligent clock synchronization layer,intelligent energy consump
Externí odkaz:
https://doaj.org/article/0aa39558af324d10bb447f18009392cc
Autor:
Xiangyang Zhao, Quansheng Dou
Publikováno v:
International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429cd97415a00c21bfe390fbd569e507
https://doi.org/10.1117/12.2681328
https://doi.org/10.1117/12.2681328
Autor:
Jian Guo, Quansheng Dou
Publikováno v:
International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::525e56b2c816ab1f45bc315b4a0b7e7d
https://doi.org/10.1117/12.2681048
https://doi.org/10.1117/12.2681048
Autor:
Shun Zhang, Quansheng Dou
Publikováno v:
2023 9th International Conference on Mechatronics and Robotics Engineering (ICMRE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfc2227ef1e2316efbc398b795f7557c
https://doi.org/10.1109/icmre56789.2023.10106580
https://doi.org/10.1109/icmre56789.2023.10106580
Publikováno v:
Information Sciences. 640:119076
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3d8f8cd3493b930177c325ade73d1bc
https://doi.org/10.1016/j.ins.2023.119076
https://doi.org/10.1016/j.ins.2023.119076
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106471
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::465d8f67ba63a4e000045e9dd5fd2cde
https://doi.org/10.1016/j.engappai.2023.106471
https://doi.org/10.1016/j.engappai.2023.106471
Publikováno v:
Procedia Computer Science. 187:246-251
We propose a retinal vessel segmentation algorithm based on a convolution neural network and connected domain detection. After defining the discriminant matrix, we constructed and trained a convolutional neural network model, which can realize the ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::072b3c7f6c433416887d770645aa6300
https://doi.org/10.1016/j.procs.2021.04.058
https://doi.org/10.1016/j.procs.2021.04.058
Autor:
Quansheng Dou, Qian Guo
Publikováno v:
Procedia Computer Science. 187:300-306
In order to solve the problems of rough segmentation results and loss of image details due to the lack of smooth- ing constraints and continuous downsampling in semantic segmentation tasks. In this article, we propose a end-to-end network model based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef0312fe1882c00514929930bc65c234
https://doi.org/10.1016/j.procs.2021.04.066
https://doi.org/10.1016/j.procs.2021.04.066
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031039478
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfbce808051fb86b39ce42424e13c701
https://doi.org/10.1007/978-3-031-03948-5_32
https://doi.org/10.1007/978-3-031-03948-5_32
