Zobrazeno 1 - 10
of 1 131
pro vyhledávání: '"Lyu , Feng"'
Artificial Intelligence Generated Content (AIGC) services can efficiently satisfy user-specified content creation demands, but the high computational requirements pose various challenges to supporting mobile users at scale. In this paper, we present
Externí odkaz:
http://arxiv.org/abs/2409.09072
The surging development of Artificial Intelligence-Generated Content (AIGC) marks a transformative era of the content creation and production. Edge servers promise attractive benefits, e.g., reduced service delay and backhaul traffic load, for hostin
Externí odkaz:
http://arxiv.org/abs/2409.05303
Autor:
Liu, Yiliang, Wang, Wei, Chen, Hsiao-Hwa, Lyu, Feng, Wang, Liangmin, Meng, Weixiao, Xuemin, Shen
In this paper, we propose a secure computation offloading scheme (SCOS) in intelligently connected vehicle (ICV) networks, aiming to minimize overall latency of computing via offloading part of computational tasks to nearby servers in small cell base
Externí odkaz:
http://arxiv.org/abs/2203.13536
Publikováno v:
In Ocean Engineering 15 November 2024 312 Part 1
Autor:
Deng, Zhantao, Zeng, Xiaoli, Lin, Bofu, Chen, Lixuan, Wu, Jiwei, Zheng, Jie, Ma, Yuanchen, Lyu, Feng-Juan, Zheng, Qiujian
Publikováno v:
In Heliyon 15 October 2024 10(19)
Autor:
Liu, Ming-Zhu, Li, Xiao-Ying, Gao, Xian-Shu, Lyu, Feng, Ma, Ming-Wei, Chen, Jia-Yan, Gao, Yan, Ren, Xue-Ying, Li, Xue-Song
Publikováno v:
In Clinical Genitourinary Cancer December 2024 22(6)
Autor:
Liu, Ming-Zhu, Chen, Jia-Yan, Lyu, Feng, Gao, Xian-Shu, Ma, Ming-Wei, Li, Xiao-Ying, Li, Hong-Zhen, Qin, Shang-Bin, Gao, Yan, Wang, Pei-Yan
Publikováno v:
In Clinical Genitourinary Cancer December 2024 22(6)
Publikováno v:
In Deep-Sea Research Part I June 2024 208
Autor:
Strauch, Achim, Weber, Dieter, Clausen, Alexander, Lesnichaia, Anastasiia, Bangun, Arya, März, Benjamin, Lyu, Feng Jiao, Chen, Qing, Rosenauer, Andreas, Dunin-Borkowski, Rafal, Müller-Caspary, Knut
Publikováno v:
Microscopy and Microanalysis, 1-15 (2021)
A reformulated implementation of single-sideband ptychography enables analysis and display of live detector data streams in 4D scanning transmission electron microscopy (STEM) using the LiberTEM open-source platform. This is combined with live first
Externí odkaz:
http://arxiv.org/abs/2106.13457