Zobrazeno 1 - 10
of 2 422
pro vyhledávání: '"Zhang Yuming"'
Publikováno v:
康复学报, Vol 33, Pp 154-159 (2023)
ObjectiveTo observe the effect of hot and cold Chinese medicine whirlpool bath combined with motor control training on patients with shoulder-hand syndrome (SHS) after stroke.MethodsA total of 40 patients with SHS after stroke in the Xuzhou Rehabilit
Externí odkaz:
https://doaj.org/article/4a347ec6dbda4f6ea37d1b88a844763a
Autor:
Zhang Yuming, Gao Zhongyuan, Zhi Chao, Chen Mengqi, Zhou Youyong, Wang Shuai, Fu Sida, Yu Lingjie
Publikováno v:
e-Polymers, Vol 22, Iss 1, Pp 793-802 (2022)
The fabric defect models based on deep learning often demand numerous training samples to achieve high accuracy. However, obtaining a complete dataset containing all possible fabric textures and defects is a big challenge due to the sophisticated and
Externí odkaz:
https://doaj.org/article/f2d7805514fe4c2cace50a0fcb1ffdee
Publikováno v:
MATEC Web of Conferences, Vol 395, p 01059 (2024)
This study investigates the effectiveness of fusion-based appreciative curriculum moral education through non-experimental research methods involving college students from Hong Kong, Macau, Taiwan, and mainland China who took the Ethics and Life cour
Externí odkaz:
https://doaj.org/article/0b69ae50fc044760af36c1143961d4dd
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 238, Iss 4, Pp 749-750 (2023)
C12H12O2S, monoclinic, P21/c (no. 14), a = 7.4771(1) Å, b = 8.6860(1) Å, c = 16.0445(2) Å, β = 95.374(1)∘ $95.374{\left(1\right)}^{\circ }$ , V = 1037.45(2) Å3, Z = 4, R gt(F) = 0.0311, wR ref (F 2) = 0.1156, T = 293(2) K.
Externí odkaz:
https://doaj.org/article/75726f8582ef44669298c8de9754aae6
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 238, Iss 4, Pp 795-796 (2023)
C18H14O3, triclinic, P1‾ $P\overline{1}$ (no. 2), a = 7.75390(10) Å, b = 8.26060(10) Å, c = 11.6271(2) Å, α = 86.877(1)∘ $86.877{(1)}^{\circ }$ , β = 78.944(1)∘ $78.944{(1)}^{\circ }$ , γ = 68.908(1)∘ $68.908{(1)}^{\circ }$ , V = 681.8
Externí odkaz:
https://doaj.org/article/96fb2d4e8cac4799bbc830c9c14edd2c
Inference for high-dimensional logistic regression models using penalized methods has been a challenging research problem. As an illustration, a major difficulty is the significant bias of the Lasso estimator, which limits its direct application in i
Externí odkaz:
http://arxiv.org/abs/2410.20045
Traditional end-to-end deep learning models often enhance feature representation and overall performance by increasing the depth and complexity of the network during training. However, this approach inevitably introduces issues of parameter redundanc
Externí odkaz:
http://arxiv.org/abs/2410.01239
Autor:
Voirol, Lionel, Xu, Haotian, Zhang, Yuming, Insolia, Luca, Molinari, Roberto, Guerrier, Stéphane
The exponential growth in data sizes and storage costs has brought considerable challenges to the data science community, requiring solutions to run learning methods on such data. While machine learning has scaled to achieve predictive accuracy in bi
Externí odkaz:
http://arxiv.org/abs/2409.05160
Publikováno v:
Frontiers in Communication, Vol 7 (2022)
This study investigates the relationship between inter-organizational knowledge-sharing and innovation performance based on the resource-based theory and network embedded theory. It aims to examine the mediating effect of network characteristics in t
Externí odkaz:
https://doaj.org/article/cbbccebfe3c349c2ad73e607a5262e24
Knowledge distillation is widely applied in various fundamental vision models to enhance the performance of compact models. Existing knowledge distillation methods focus on designing different distillation targets to acquire knowledge from teacher mo
Externí odkaz:
http://arxiv.org/abs/2408.11478