Výsledky vyhledávání - "Boshen ZHANG"

Akademický článek

Tribological Properties of Nano-Scale Al2O3 Particles with Different Shapes as Lubricating Oil Additives

Autor: Zichun Wang, Jingsi Wang, Jiayuan Wang, Heyuan Tian, Boshen Zhang, Konstantin Grinkevych, Jiujun Xu

Publikováno v: Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1069 (2024)

Enhancing lubrication across various tribological systems in the maritime industry is essential for improving safety, efficiency, and environmental sustainability. Al2O3 nanoparticles, employed as additives in lubricating oils, demonstrate favorable

Externí odkaz: https://doaj.org/article/07354c625b8047a0926dc3434dbfdee0

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Akademický článek

Survey on depth and RGB image-based 3D hand shape and pose estimation

Autor: Lin Huang, Boshen Zhang, Zhilin Guo, Yang Xiao, Zhiguo Cao, Junsong Yuan

Publikováno v: Virtual Reality & Intelligent Hardware, Vol 3, Iss 3, Pp 207-234 (2021)

The field of vision-based human hand three-dimensional (3D) shape and pose estimation has attracted significant attention recently owing to its key role in various applications, such as natural humancomputer interactions. With the availability of lar

Externí odkaz: https://doaj.org/article/1f9cace2c44a4108a179d1ea5b8df247

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Akademický článek

Phishing Node Detection in Ethereum Transaction Network Using Graph Convolutional Networks

Autor: Zhen Zhang, Tao He, Kai Chen, Boshen Zhang, Qiuhua Wang, Lifeng Yuan

Publikováno v: Applied Sciences, Vol 13, Iss 11, p 6430 (2023)

As the use of digital currencies, such as cryptocurrencies, increases in popularity, phishing scams and other cybercriminal activities on blockchain platforms (e.g., Ethereum) have also risen. Current methods of detecting phishing in Ethereum focus m

Externí odkaz: https://doaj.org/article/c061d03a7e40470f9808e5b3feaab386

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Akademický článek

Adaptive threshold method for intelligent ship power system equipment

Autor: Zeyu GAO, Peng ZHANG, Boshen ZHANG, Yuewen ZHANG, Peiting SUN

Publikováno v: Zhongguo Jianchuan Yanjiu, Vol 16, Iss 1, Pp 167-173 (2021)

Objective In light of problems such as the untimely condition monitoring and alarm, excessively large threshold bandwidth and inaccurate condition evaluation parameters of intelligent ship power system equipment, an adaptive threshold method is propo

Externí odkaz: https://doaj.org/article/45d821ecefef4bc78d2f2bcba52257b3

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