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of 23
pro vyhledávání: '"Guan Huixin"'
Autor:
Guan, Huixin
This paper presents an experimental study focused on understanding the simplification properties of neural networks under different hyperparameter configurations, specifically investigating the effects on Lempel Ziv complexity and sensitivity. By adj
Externí odkaz:
http://arxiv.org/abs/2409.16086
Autor:
Fu, Ce, Zhang, Kuanguang, Guan, Huixin, Deng, Shuai, Sun, Yue, Ding, Yang, Wang, Junsheng, Liu, Jianqiao
Publikováno v:
In Sensors and Actuators: B. Chemical 1 November 2024 418
Publikováno v:
In Tectonophysics 5 September 2023 862
Akademický článek
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Publikováno v:
In Gondwana Research August 2021 96:56-75
Autor:
Guan, Huixin, Geoffroy, Laurent, Gernigon, Laurent, Chauvet, François, Grigné, Cécile, Werner, Philippe
Publikováno v:
In Marine and Petroleum Geology June 2019 104:438-450
Autor:
Cao He, Zhongyi Zhang, Zhou Jihua, Guan Huixin, Jian Liu, Wenbo Deng, Jinxing Wang, Yihang Zhi, Yikui Zhai, Hui Ma
Publikováno v:
The Journal of Engineering (2019)
An effective Max-Fire CNN model MF-SarNet for synthetic aperture radar (SAR) automatic target recognition (ATR) is presented, here. By selecting the convolution kernel of the Fire module in the network, the parameters are reduced to obtain the effect
Autor:
Yihang Zhi, Yikui Zhai, Guan Huixin, Ke Qirui, Wu Xi, Ying Xu, Ruiming Li, Zhou Jihua, Zheng Yu
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030343866
Aiming at improving the efficiency and the accuracy of the base station antenna inspection, a new method is proposed to use the deep learning algorithm YOLO v3 algorithm combined with geometric mathematics to detect the downtilt angle of the antenna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0b9070c0840d0e88257701696872aae
https://doi.org/10.1007/978-3-030-34387-3_81
https://doi.org/10.1007/978-3-030-34387-3_81
Autor:
Wu Xi, Guan Huixin, Wenbo Deng, Ziyi Jiang, Hui Ma, Jian Liu, Yihang Zhi, Lijuan Shang, Bing Sun, Zhou Jihua, Yikui Zhai
Publikováno v:
The Journal of Engineering (2019)
Utilising neural networks to learn and extract valuable features has achieved satisfactory performance for synthetic aperture radar automatic target recognition (SAR ATR). However, such target recognition capability could be seriously limited by seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1330e1fc7e497a28ff4f21f9835e08d
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0219
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0219
Autor:
Guan, Huixin
Une marge passive est une zone de transition non-active entre lithosphère continentale et lithosphère océanique. De nombreuses marges passives présentent un fort développement magmatique (>50%). Ces marges passives volcaniques (MPVs) marquent la
Externí odkaz:
http://www.theses.fr/2018BRES0068