Zobrazeno 1 - 10
of 522
pro vyhledávání: '"Li Zimeng"'
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 25, Pp 3104-3111 (2023)
Background Mild cognitive impairment (MCI) is an important stage to intervene and delay the progression of dementia, and it has been shown closely associated with genetic factors, among which apolipoprotein E (APOE) ε4 is recognized as an important
Externí odkaz:
https://doaj.org/article/f0ffb414a0014bfd96e8e034f7cb97fc
A Study of Quantitative Modeling and Capital Market Efficiency Enhancement in High Frequency Trading
Autor:
Li Zimeng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The capital market is gradually shifting to emerging development with the aid of computer technology, with the help of artificial intelligence and data processing algorithms to cope with complex data in order to reduce the error of judgment in the ca
Externí odkaz:
https://doaj.org/article/3152f0153482453da19f46b46372fb4b
Autor:
Li, Mingxian, Sun, Hao, Lei, Yingtie, Zhang, Xiaofeng, Dong, Yihang, Zhou, Yilin, Li, Zimeng, Chen, Xuhang
Document images are often degraded by various stains, significantly impacting their readability and hindering downstream applications such as document digitization and analysis. The absence of a comprehensive stained document dataset has limited the
Externí odkaz:
http://arxiv.org/abs/2410.22922
Shadow detection is crucial for accurate scene understanding in computer vision, yet it is challenged by the diverse appearances of shadows caused by variations in illumination, object geometry, and scene context. Deep learning models often struggle
Externí odkaz:
http://arxiv.org/abs/2410.07695
Autor:
Han, Linxuan, Xiao, Sa, Li, Zimeng, Li, Haidong, Zhao, Xiuchao, Guo, Fumin, Han, Yeqing, Zhou, Xin
Multi-modality magnetic resonance imaging (MRI) can provide complementary information for computer-aided diagnosis. Traditional deep learning algorithms are suitable for identifying specific anatomical structures segmenting lesions and classifying di
Externí odkaz:
http://arxiv.org/abs/2407.10377
Significance testing aims to determine whether a proposition about the population distribution is the truth or not given observations. However, traditional significance testing often needs to derive the distribution of the testing statistic, failing
Externí odkaz:
http://arxiv.org/abs/2401.13335
Autor:
Li, Zimeng, Xiao, Sa, Wang, Cheng, Li, Haidong, Zhao, Xiuchao, Duan, Caohui, Zhou, Qian, Rao, Qiuchen, Fang, Yuan, Xie, Junshuai, Shi, Lei, Guo, Fumin, Ye, Chaohui, Zhou, Xin
Magnetic resonance imaging (MRI) using hyperpolarized noble gases provides a way to visualize the structure and function of human lung, but the long imaging time limits its broad research and clinical applications. Deep learning has demonstrated grea
Externí odkaz:
http://arxiv.org/abs/2306.11977
Autor:
Chen, Zehui, Li, Zimeng, Shen, Xiangzhen, Liu, Yuansheng, Lin, Xuan, Zeng, Daojian, Zeng, Xiangxiang
Publikováno v:
In Expert Systems With Applications 10 December 2024 257
Autor:
Zhai, Zheran, Liu, Siyao, Li, Zimeng, Ma, Ruijie, Ge, Xiaoyu, Feng, Haidong, Shi, Yang, Gu, Chen
Publikováno v:
In Ecological Indicators December 2024 169
Autor:
Li, Zimeng, Li, Hongyan
Publikováno v:
In Pharmacological Research - Modern Chinese Medicine December 2024 13