Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Su, Yuru"'
Deep neural networks (DNNs) have found widespread applications in interpreting remote sensing (RS) imagery. However, it has been demonstrated in previous works that DNNs are vulnerable to different types of noises, particularly adversarial noises. Su
Externí odkaz:
http://arxiv.org/abs/2306.12111
Patch-based physical attacks have increasingly aroused concerns. However, most existing methods focus on obscuring targets captured on the ground, and some of these methods are simply extended to deceive aerial detectors. They smear the targeted obje
Externí odkaz:
http://arxiv.org/abs/2302.13519
Deep Neural Networks (DNNs) have been extensively utilized in aerial detection. However, DNNs' sensitivity and vulnerability to maliciously elaborated adversarial examples have progressively garnered attention. Recently, physical attacks have gradual
Externí odkaz:
http://arxiv.org/abs/2302.13487
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 10, Pp 165-177 (2023)
Scarf repair is a widely used repair method for damaged composite structures, which can be divided into two categories: dry (precured-patch) repair and wet (wet-layup) repair. The ultimate strength, failure mode and patch debonding of scarf repaired
Externí odkaz:
https://doaj.org/article/28fba28b712340e9a06fb8556eacfc94
Autor:
Huang, Huanfang, Chen, Zifeng, Su, Yuru, Zeng, Honghu, Li, Haixiang, Chen, Yingjie, Qi, Shihua, Chen, Wei, Chen, Wenwen, Zhang, Gan
Publikováno v:
In Water Research 15 May 2024 255
Publikováno v:
In Composite Structures 15 January 2021 256
Akademický článek
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Akademický článek
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Publikováno v:
In Chinese Journal of Aeronautics March 2019 32(3):619-626
Publikováno v:
Journal of Aeronautical Materials, Vol 38, Iss 3, Pp 100-106 (2018)
The tensile and compressive mechanical properties of laminates repaired by injection repair were experimentally studied, and the influences of repair on strength, stiffness and failure mode were evaluated. Control experiments between pristine, damage
Externí odkaz:
https://doaj.org/article/ac6411ee21c94fab9b5f02be2f7354a6