Výsledky vyhledávání - "Zhao, Yaodong"

Akademický článek

Analysis of factors influencing fall risk among elderly people in rural of China.

Autor: Zhao, Yaodong¹ (AUTHOR), Xie, Dan² (AUTHOR), Zhang, Chi² (AUTHOR), Wang, Haibo¹ (AUTHOR), Zhang, Beibei¹ (AUTHOR), Liu, Song¹ (AUTHOR), Li, Min² (AUTHOR), Chen, Guimei² (AUTHOR), Ding, Hong² (AUTHOR) dinghong2003@126.com

Publikováno v: Scientific Reports. 4/27/2024, Vol. 14 Issue 1, p1-8. 8p.

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Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data

Autor: Zhou, Youjia, Chalapathi, Nithin, Rathore, Archit, Zhao, Yaodong, Wang, Bei

The mapper algorithm is a popular tool from topological data analysis for extracting topological summaries of high-dimensional datasets. In this paper, we present Mapper Interactive, a web-based framework for the interactive analysis and visualizatio

Externí odkaz: http://arxiv.org/abs/2011.03209

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Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification

Autor: Liao, Kaisheng, Zhao, Yaodong, Gu, Jie, Zhang, Yaping, Zhong, Yi

A novel and efficient end-to-end learning model for automatic modulation classification is proposed for wireless spectrum monitoring applications, which automatically learns from the time domain in-phase and quadrature data without requiring the desi

Externí odkaz: http://arxiv.org/abs/1909.03050

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Akademický článek

A Few-Shots OFDM Target Augmented Identification Method Based on Transfer Learning

Autor: TANG Zeyu, ZOU Xiaohu, LI Pengfei, ZHANG Wei, YU Jiaqi, ZHAO Yaodong

Publikováno v: Shanghai Jiaotong Daxue xuebao, Vol 56, Iss 12, Pp 1666-1674 (2022)

Under the few-shots condition caused by non-cooperative scenes, robust extraction of communication emitter features and accurate identification of targets are the difficulties and hotspots of current research. Aimed at the problem of emitter identifi

Externí odkaz: https://doaj.org/article/a5bf7309a8cf412b88131611b3b01a85

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Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing

Autor: Yan, Lin, Zhao, Yaodong, Rosen, Paul, Scheidegger, Carlos, Wang, Bei

Dimensionality reduction is an integral part of data visualization. It is a process that obtains a structure preserving low-dimensional representation of the high-dimensional data. Two common criteria can be used to achieve a dimensionality reduction

Externí odkaz: http://arxiv.org/abs/1806.08460

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