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Hierarchical search in millimeter-wave (mmWave) communications incurs significant beam training overhead and delay, especially in a dynamic environment. Deep learning-enabled beam prediction is promising to significantly mitigate the overhead and del
Externí odkaz:
http://arxiv.org/abs/2409.18429
Autor:
Huang, Wei-Hsing, Jia, Jianwei, Kong, Yuyao, Waqar, Faaiq, Wen, Tai-Hao, Chang, Meng-Fan, Yu, Shimeng
Recently, a novel model named Kolmogorov-Arnold Networks (KAN) has been proposed with the potential to achieve the functionality of traditional deep neural networks (DNNs) using orders of magnitude fewer parameters by parameterized B-spline functions
Externí odkaz:
http://arxiv.org/abs/2409.11418
Autor:
Meng, Fan, Arai, Noriyoshi
Wettability is a fundamental physicochemical property of solid surfaces, with unique wettability patterns playing pivotal roles across diverse domains. Inspired by nature's ingenious designs, bio-inspired materials have emerged as a frontier of scien
Externí odkaz:
http://arxiv.org/abs/2404.11899
Autor:
Zhou, Ding-Bang, Gao, Kuang-Hong, Zhao, Meng-Fan, Jia, Zhi-Yan, Hu, Xiao-Xia, Guo, Qian-Jin, Du, Hai-Yan, Chen, Xiao-Ping, Li, Zhi-Qing
Layered transition metal chalcogenides have stimulated a wide research interest due to their many exotic physical properties. In this paper, we studied the magnetotransport properties of the exfoliated TaNiTe5, a recently discovered Dirac nodal-line
Externí odkaz:
http://arxiv.org/abs/2402.16088
Hierarchical beam search in mmWave communications incurs substantial training overhead, necessitating deep learning-enabled beam predictions to effectively leverage channel priors and mitigate this overhead. In this study, we introduce a comprehensiv
Externí odkaz:
http://arxiv.org/abs/2401.01609
Autor:
Lu, Yingzhou, Shen, Minjie, Yue, Ling, Li, Chenhao, Meng, Fan, Wang, Xiao, Herrington, David, Wang, Yue, Zhao, Yue, Fu, Tianfan, Van Rechem, Capucine
The surge in high-throughput omics data has reshaped the landscape of biological research, underlining the need for powerful, user-friendly data analysis and interpretation tools. This paper presents GenoCraft, a web-based comprehensive software solu
Externí odkaz:
http://arxiv.org/abs/2312.14249
Beam selection for joint transmission in cell-free massive multi-input multi-output systems faces the problem of extremely high training overhead and computational complexity. The traffic-aware quality of service additionally complicates the beam sel
Externí odkaz:
http://arxiv.org/abs/2309.11137
Autor:
Yang, Meng-fan1 (AUTHOR), Ren, Dong-xue1 (AUTHOR), Pan, Xue1 (AUTHOR), Li, Chang-xin1 (AUTHOR), Xu, Sui-yi1,2 (AUTHOR) suiyixu@sina.com
Publikováno v:
Pain & Therapy. Aug2024, Vol. 13 Issue 4, p679-690. 12p.
Autor:
Li, Ze-Tong, Zheng, Cong-Cong, Meng, Fan-Xu, Zeng, Han, Luan, Tian, Zhang, Zai-Chen, Yu, Xu-Tao
Engineering quantum devices requires reliable characterization of the quantum system, including qubits, quantum operations (also known as instruments) and the quantum noise. Recently, quantum gate set tomography (GST) has emerged as a powerful techni
Externí odkaz:
http://arxiv.org/abs/2307.14696