Zobrazeno 1 - 10
of 817
pro vyhledávání: '"Li Guoyu"'
Autor:
Fu Yaning, Chen Huan, Zheng Saijing, Zhang Sen, Zhang Yichun, Yan Daiwei, Wang Hongjuan, Han Shulei, Tian Yushan, Li Yingyan, Li Guoyu, Liu Tong, Zhao Huimin, Su Yue, Hou Hongwei, Hu Qingyuan
Publikováno v:
Contributions to Tobacco and Nicotine Research, Vol 32, Iss 3, Pp 101-112 (2023)
Increasing tobacco control and public health awareness have increased smokers’ attempts to quit smoking. However, some smokers also seek alternative products claimed to pose less risks. The use of smokeless tobacco (ST) products may thus increase i
Externí odkaz:
https://doaj.org/article/0b2012172ce341c4baed4aa77d070af3
Deep learning is widely used in wireless communications but struggles with fixed neural network sizes, which limit their adaptability in environments where the number of users and antennas varies. To overcome this, this paper introduced a generalizat
Externí odkaz:
http://arxiv.org/abs/2408.17252
In this letter, we analyze the performance of mixed coherent and non-coherent transmissions approach, which can improve the performance of cell-free multiple-input multiple-output orthogonal frequency division multiplexing (CF mMIMO-OFDM) systems und
Externí odkaz:
http://arxiv.org/abs/2408.12329
Autor:
Fu, Fangfa, Zhang, Wenyu, Jiang, Zesong, Zhu, Zhiyu, Li, Guoyu, Yang, Bing, Liu, Cheng, Xiao, Liyi, Wang, Jinxiang, Li, Huawei, Li, Xiaowei
Deep learning and signal processing are closely correlated in many IoT scenarios such as anomaly detection to empower intelligence of things. Many IoT processors utilize digital signal processors (DSPs) for signal processing and build deep learning f
Externí odkaz:
http://arxiv.org/abs/2407.12565
Applying integrated sensing and communication (ISAC) to a cell-free massive multiple-input multiple-output (CF mMIMO) architecture has attracted increasing attention. This approach equips CF mMIMO networks with sensing capabilities and resolves the p
Externí odkaz:
http://arxiv.org/abs/2405.20073
Autor:
Luo, Erjing, Huang, Haitong, Liu, Cheng, Li, Guoyu, Yang, Bing, Wang, Ying, Li, Huawei, Li, Xiaowei
Mixed-precision neural networks (MPNNs) that enable the use of just enough data width for a deep learning task promise significant advantages of both inference accuracy and computing overhead. FPGAs with fine-grained reconfiguration capability can ad
Externí odkaz:
http://arxiv.org/abs/2308.11334
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Publikováno v:
In Engineering Failure Analysis September 2024 163 Part A
Autor:
Shao, Changxuan, Wang, Yuanmengxue, Li, Guoyu, Guan, Hongrui, Zhu, Yongjie, Zhang, Licong, Dong, Na, Shan, Anshan
Publikováno v:
In Food Chemistry 1 August 2024 448
Autor:
Zeng, Genying, Li, Guoyu, Yuan, Wenyu, Liu, Jingwen, Wu, Ying, Li, Meifang, Deng, Jiaqin, Hu, Xinjiang, Tan, Xiaofei
Publikováno v:
In Separation and Purification Technology 19 January 2025 353 Part C