Zobrazeno 1 - 10
of 1 231
pro vyhledávání: '"ZHANG Yucheng"'
Publikováno v:
Shanghai yufang yixue, Vol 36, Iss 9, Pp 823-829 (2024)
With the pandemic of COVID-19, the World Health Organization warns that disease X is on the verge of a global outbreak, and the problem of multidrug-resistant bacterial infections in medical and healthcare institutions becomes more serious. Compared
Externí odkaz:
https://doaj.org/article/a9afb106570344eca96385a581a42df1
Autor:
ZHANG Yucheng, FAN Junhua, TIAN Liang, JIANG Ning, JI Xiaofan, HUANG Lyulan, ZHANG Xing, ZHU Renyi
Publikováno v:
Shanghai yufang yixue, Vol 35, Iss 5, Pp 505-507 (2023)
ObjectiveTo investigate the quality of disinfection in the SARS-CoV-2 nucleic acid sampling sites in Shanghai.MethodsSwab samples of medical staff’ hands and environments of different SARS-CoV-2 nucleic acid sampling sites were collected from July
Externí odkaz:
https://doaj.org/article/277ce35450134f75af70fef115b9b954
Automated crop mapping through Satellite Image Time Series (SITS) has emerged as a crucial avenue for agricultural monitoring and management. However, due to the low resolution and unclear parcel boundaries, annotating pixel-level masks is exceptiona
Externí odkaz:
http://arxiv.org/abs/2412.03968
Publikováno v:
2024 ITS World Congress Dubai
This paper classifies near-miss traffic videos using the SlowFast deep neural network that mimics the characteristics of the slow and fast visual information processed by two different streams from the M (Magnocellular) and P (Parvocellular) cells of
Externí odkaz:
http://arxiv.org/abs/2412.03903
Autor:
Zhang, Dehui, Zhang, Yucheng, Xu, Dong, Wang, Shaolei, Wang, Kaidong, Zhou, Boxuan, Ling, Yansong, Liu, Yang, Cui, Qingyu, Yin, Junyi, Zhu, Enbo, Zhao, Xun, Wan, Chengzhang, Chen, Jun, Hsiai, Tzung K., Huang, Yu, Duan, Xiangfeng
Directly probing deep tissue activities from body surfaces offers a noninvasive approach to monitoring essential physiological processes1-3. However, this method is technically challenged by rapid signal attenuation toward the body surface and confou
Externí odkaz:
http://arxiv.org/abs/2412.03749
Autor:
Zhang, Yucheng, Li, Qinfeng, Du, Tianyu, Zhang, Xuhong, Zhao, Xinkui, Feng, Zhengwen, Yin, Jianwei
Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) by integrating external knowledge, making them adaptable and cost-effective for various applications. However, the growing reliance on these systems also introduces pot
Externí odkaz:
http://arxiv.org/abs/2410.22832
Autor:
Yang, Shengqi, Lidz, Adam, Benson, Andrew, Zhao, Yizhou, Li, Hui, Zhao, Amelia, Smith, Aaron, Zhang, Yucheng, Somerville, Rachel, Pullen, Anthony
The JWST and ALMA have detected emission lines from the ionized interstellar medium (ISM), including [OII], [OIII], and hydrogen Balmer series lines, in some of the first galaxies at z>6. These measurements present an opportunity to better understand
Externí odkaz:
http://arxiv.org/abs/2409.03997
Publikováno v:
ApJ 968 115 (2024)
The star formation history (SFH) is a key issue in the evolution of galaxies. In this work, we developed a model based on a Gaussian and gamma function mixture to fit SFHs with varying numbers of components. Our primary objective was to use this mode
Externí odkaz:
http://arxiv.org/abs/2406.13254
As an emerging task that integrates perception and reasoning, topology reasoning in autonomous driving scenes has recently garnered widespread attention. However, existing work often emphasizes "perception over reasoning": they typically boost reason
Externí odkaz:
http://arxiv.org/abs/2405.14747
Autor:
Zhou, Alan Junzhe, Li, Yin, Dodelson, Scott, Mandelbaum, Rachel, Zhang, Yucheng, Li, Xiangchong, Fabbian, Giulio
The analyses of the next generation cosmological surveys demand an accurate, efficient, and differentiable method for simulating the universe and its observables across cosmological volumes. We present Hamiltonian ray tracing (HRT) -- the first post-
Externí odkaz:
http://arxiv.org/abs/2405.12913