Výsledky vyhledávání

Report

Autonomous self-evolving research on biomedical data: the DREAM paradigm

Autor: Deng, Luojia, Wu, Yijie, Ren, Yongyong, Lu, Hui

In contemporary biomedical research, the efficiency of data-driven approaches is hindered by large data volumes, tool selection complexity, and human resource limitations, necessitating the development of fully autonomous research systems to meet com

Externí odkaz: http://arxiv.org/abs/2407.13637

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Report

HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds

Autor: Li, Maosu, Wu, Yijie, Yeh, Anthony G. O., Xue, Fan

Publikováno v: Proceedings of 2023 IEEE International Conference on Image Processing Challenges and Workshops, 3714-3718. IEEE

Many existing 3D semantic segmentation methods, deep learning in computer vision notably, claimed to achieve desired results on urban point clouds. Thus, it is significant to assess these methods quantitatively in diversified real-world urban scenes,

Externí odkaz: http://arxiv.org/abs/2307.07976

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Akademický článek

Characteristics of respiratory syncytial virus infections in children with severe acute respiratory tract infections in Huzhou City， Zhejiang Province from 2018 to 2022

Autor: WU Yijie, ZHANG Yuye

Publikováno v: Shanghai yufang yixue, Vol 36, Iss 6, Pp 579-581 (2024)

ObjectiveTo understand the prevalence of respiratory syncytial virus （RSV） infections among children hospitalized with severe acute respiratory infections （SARI） in Huzhou， Zhejiang Province， and to explore the epidemiological characteris

Externí odkaz: https://doaj.org/article/9c19030470224f578dfc3f6914de847e