Zobrazeno 1 - 10
of 463
pro vyhledávání: '"Wang, Huiru"'
In the last few years, with the rapid development of deep learning technologies, supervised methods based on convolutional neural networks have greatly enhanced the performance of medical image denoising. However, these methods require large quantiti
Externí odkaz:
http://arxiv.org/abs/2411.10831
The improvement of living standards and awareness of chronic diseases have increased the importance of community sports organizations in promoting the physical activity levels of the public. However, limited understanding of human behavior in this co
Externí odkaz:
http://arxiv.org/abs/2307.03959
Because multimodal data contains more modal information, multimodal sentiment analysis has become a recent research hotspot. However, redundant information is easily involved in feature fusion after feature extraction, which has a certain impact on t
Externí odkaz:
http://arxiv.org/abs/2303.14708
In recent years, End-to-End speech recognition technology based on deep learning has developed rapidly. Due to the lack of Turkish speech data, the performance of Turkish speech recognition system is poor. Firstly, this paper studies a series of spee
Externí odkaz:
http://arxiv.org/abs/2303.12300
Autor:
Li, Kaiyuan, Wang, Huiru, Chen, Tingting, Wang, Xuebo, Wang, Xue, Zhong, Muqi, Gao, Xueyan, Hao, Zhihui
Publikováno v:
In Virology October 2024 598
Autor:
She, Xiaohui, Wang, Huiru, Zhang, Tongtong, Li, Yongliang, Zhao, Xuemin, Ding, Yulong, Wang, Chen
Publikováno v:
In Renewable and Sustainable Energy Reviews February 2025 208
Publikováno v:
In Journal of Alloys and Compounds 5 January 2025 1010
Publikováno v:
In Composites Part A January 2025 188
Autor:
Zhang, Kai, Ye, Tianqing, Geng, Jingtao, Liu, Weijun, Liu, Chengwei, Wang, Wenlong, Wang, Huiru
Publikováno v:
In International Journal of Heat and Mass Transfer January 2025 236 Part 2
Autor:
Xu, Ruxin, Wang, Huiru
Weighted twin support vector machines (WLTSVM) mines as much potential similarity information in samples as possible to improve the common short-coming of non-parallel plane classifiers. Compared with twin support vector machines (TWSVM), it reduces
Externí odkaz:
http://arxiv.org/abs/2201.11306