Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Xu Chunlei"'
Publikováno v:
Translational Neuroscience, Vol 15, Iss 1, Pp 795-820 (2024)
Our previous studies have shown that early exercise intervention after stroke increases neural activity and synaptic plasticity and promotes the recovery of nerve fiber bundle integrity in the brain. However, the effect of exercise on the repair of m
Externí odkaz:
https://doaj.org/article/c0875084f199411abf67791c9241be0f
Publikováno v:
电力工程技术, Vol 41, Iss 4, Pp 177-182 (2022)
In order to adapt to the trend of unattended substation, improve the debugging and maintenance efficiency of substation automation device, and at the same time meet the demand of flexible expansion of operation and maintenance business, the remote op
Externí odkaz:
https://doaj.org/article/3ce9969aa2bc4767b4a2ddd29b499374
Autor:
Xu, Chunlei, Pregesbauer, Michael, Chilukuri, Naga Sravani, Windhager, Daniel, Yousefi, Mahsa, Julian, Pedro, Ratschbacher, Lothar
Ground Penetrating Radar (GPR) has been widely studied as a tool for extracting soil parameters relevant to agriculture and horticulture. When combined with Machine-Learning-based (ML) methods, high-resolution Stepped Frequency Countinuous Wave Radar
Externí odkaz:
http://arxiv.org/abs/2404.15961
Autor:
Horoldagva, Batmend, Xu, Chunlei
Publikováno v:
MATCH Commun. Math. Comput. Chem. 86 (2021) 703-713
Recently, Gutman defined a new vertex-degree-based graph invariant, named the Sombor index $SO$ of a graph $G$, and is defined by $$SO(G)=\sum_{uv\in E(G)}\sqrt{d_G(u)^2+d_G(v)^2},$$ where $d_G(v)$ is the degree of the vertex $v$ of $G$. In this pape
Externí odkaz:
http://arxiv.org/abs/2305.04554
Publikováno v:
In Structures August 2024 66
Few-shot learning aims to train a classifier that can generalize well when just a small number of labeled examples per class are given. We introduce a transductive maximum margin classifier for few-shot learning (FS-TMMC). The basic idea of the class
Externí odkaz:
http://arxiv.org/abs/2107.11975
The goal of few-shot video classification is to learn a classification model with good generalization ability when trained with only a few labeled videos. However, it is difficult to learn discriminative feature representations for videos in such a s
Externí odkaz:
http://arxiv.org/abs/2107.11960
Autor:
Wei, Yuqing, Zhong, Sheng, Yang, Huajing, Wang, Xueqing, Lv, Bingbing, Bian, Yaoyao, Pei, Yuqiong, Xu, Chunlei, Zhao, Qun, Wu, Yulan, Luo, Daying, Wang, Fan, Sun, Haopeng, Chen, Yao
Publikováno v:
In European Journal of Medicinal Chemistry 5 June 2024 272
Publikováno v:
In Polymer 1 March 2024 295
Publikováno v:
In Journal of Constructional Steel Research January 2024 212