Zobrazeno 1 - 10
of 2 487
pro vyhledávání: '"ZHAO, LIAN"'
Autor:
Manjunath, Yoga Suhas Kuruba, Szymanowski, Mathew, Wissborn, Austin, Li, Mushu, Zhao, Lian, Zhang, Xiao-Ping
Our work proposes a comprehensive solution for predicting Metaverse network traffic, addressing the growing demand for intelligent resource management in eXtended Reality (XR) services. We first introduce a state-of-the-art testbed capturing a real-w
Externí odkaz:
http://arxiv.org/abs/2411.11894
Autor:
Manjunath, Yoga Suhas Kuruba, Wissborn, Austin, Szymanowski, Mathew, Li, Mushu, Zhao, Lian, Zhang, Xiao-Ping
In this paper, we design an exclusive Metaverse network traffic classifier, named Discern-XR, to help Internet service providers (ISP) and router manufacturers enhance the quality of Metaverse services. Leveraging segmented learning, the Frame Vector
Externí odkaz:
http://arxiv.org/abs/2411.05184
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplete training data due to limitations in data collection and unreliable annotation processes. The absence of multi-view features impairs the comprehensiv
Externí odkaz:
http://arxiv.org/abs/2409.07931
Deep learning-based network traffic classification (NTC) techniques, including conventional and class-of-service (CoS) classifiers, are a popular tool that aids in the quality of service (QoS) and radio resource management for the Internet of Things
Externí odkaz:
http://arxiv.org/abs/2409.05096
Autor:
Yan, Ruiqing, Du, Xingbo, Deng, Haoyu, Zheng, Linghan, Sun, Qiuzhuang, Hu, Jifang, Shao, Yuhang, Jiang, Penghao, Jiang, Jinrong, Zhao, Lian
With the advent of large models based on the Transformer architecture, researchers have observed an anomalous phenomenon in the Attention mechanism--there is a very high attention on the first element, which is prevalent across Transformer-based mode
Externí odkaz:
http://arxiv.org/abs/2407.01601
Autor:
Zhao, Lian-Peng
Single-center two-electron integration is an important core technology in ab initio calculation of atomic and molecular structures. Therefore, this paper reviews and optimizes the method of Zhao et al., and draws a conclusion: Because this method is
Externí odkaz:
http://arxiv.org/abs/2303.09121
Autor:
Li-Ya Shi, Yang Wang, Yan-Jie Yang, Qian Li, Zhi-Xia Yang, Li-Hua Sun, Fu-Qiang Luo, Yu-hao He, Shu-Ping Zhang, Ning Su, Jia-Qi Liu, Ye He, Yi-Chun Guan, Zhao-Lian Wei, Yun-Xia Cao, Dong Zhang
Publikováno v:
Cellular & Molecular Biology Letters, Vol 29, Iss 1, Pp 1-18 (2024)
Abstract Background Members of the nucleotide-binding oligomerization domain, leucine rich repeat and pyrin domain containing (NLRP) family regulate various physiological and pathological processes. However, none have been shown to regulate actin cap
Externí odkaz:
https://doaj.org/article/f76869004783446183621b0d95c882a3
Channel estimation and data transmission constitute the most fundamental functional modules of multiple-input multiple-output (MIMO) communication systems. The underlying key tasks corresponding to these modules are training sequence optimization and
Externí odkaz:
http://arxiv.org/abs/2209.10843
Publikováno v:
In Neural Networks December 2024 180
Autor:
Ma, Yu, Lin, Mei-Xin, Su, Peng-Ji, Gao, Zi-Yi, Li, Xin, Wang, You-He, Zhao, Lian-Ming, Chai, Yong-Ming, Dong, Bin
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500