Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Qixun Wang"'
Publikováno v:
International Journal of General Medicine. 15:5973-5984
Qixun Wang,1,* Jinping Liu,1,* Iokfai Cheang,2,* Jinghang Li,3 Tingzhen Chen,4 Yanxiu Li,4 Bo Yu1 1Department of Cardiovascular Surgery, The First Peopleâs Hospital of Lianyungang, Lianyungang Clinical College of Nanjing Medical Univ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9200109a8304a1549645ae9d58ce4dd
https://doi.org/10.2147/ijgm.s369582
https://doi.org/10.2147/ijgm.s369582
Autor:
Jingkang Yang, Zheng Ma, Qixun Wang, Xiaofeng Guo, Haofan Wang, Ziwei Liu, Wayne Zhang, Xing Xu, Hai Zhang
Publikováno v:
National Science Review.
The Panoptic Scene Graph Generation (PSG) challenge evaluates computer vision models to identify relations in images beyond object classification and localization, enabling a deeper understanding of scenes for real-world AI applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00e2f950b94144cc7b50b057a6344607
https://doi.org/10.1093/nsr/nwad126
https://doi.org/10.1093/nsr/nwad126
Publikováno v:
2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b575c789ffbcff4e41bb40708ed4b6b
https://doi.org/10.1109/nnice58320.2023.10105700
https://doi.org/10.1109/nnice58320.2023.10105700
Publikováno v:
J Thorac Dis
BACKGROUND: The neutrophil-lymphocyte ratio (NLR) has been recognized as a useful marker of poor prognosis in non-cardiac surgery patients. But, the prognostic function of NLR in cardiovascular surgery patients still largely unknown. The aim of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9322518abcc8854bfc6eb490a879a83
https://doi.org/10.21037/jtd-20-2593
https://doi.org/10.21037/jtd-20-2593
Deep Learning Prediction of Incoming Rainfalls: An Operational Service for the City of Beijing China
Autor:
Zhang Gong, Yang Guowei, Wenpeng Zhang, Gu Zhu, Qixun Wang, Song Kuan, Jianzhong Liu, Xiaochen Yu, Wenjun Liu, Xu Chunmeng, Ying Wang, Chen Shi
Publikováno v:
ICDM Workshops
We developed a deep learning prototype for the purpose of rainfall prediction for the city of Beijing China. It predicts rainfall dynamics in the next two hours with spatial reso-lution of 1km and temporal resolution of 6 minutes. That is a magnitude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::736edf604cf479e834b1b769fe92c26a
https://doi.org/10.1109/icdmw.2019.00036
https://doi.org/10.1109/icdmw.2019.00036
Publikováno v:
Astrophysical Journal; 2/1/2019, Vol. 871 Issue 2, p1-1, 1p