Zobrazeno 1 - 10
of 560
pro vyhledávání: '"Hu Junfeng"'
Publikováno v:
Jixie chuandong, Vol 47, Pp 57-64 (2023)
In order to solve the problem of fracture failure of the existing vibration grinding mill connecting rod within the design service life, the structural optimization design of the connecting rod is proposed. Firstly, the kineto-static analysis is used
Externí odkaz:
https://doaj.org/article/5c5806298a3f4083a5bd7e1ecc9b87b5
Autor:
LIU Yawen, LU Jiahui, NI Chen, HUANG Jie, HUANG Tianhao, SHEN Nan, DONG Yulin, SHI Meilin, HU Junfeng
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 48, Iss 7, Pp 659-666 (2021)
Objective To explore whether inhibiting autophagy can enhance the sensitivity of photothermal treatment under mild photothermal conditions. Methods CQ@PLGA@PDA NPs were prepared by an improved double emulsification method and a PDA-based surface modi
Externí odkaz:
https://doaj.org/article/09737c1a3c204769b5501aa5e60ca0c9
Autor:
Hu, Junfeng, Liu, Xu, Fan, Zhencheng, Yin, Yifang, Xiang, Shili, Ramasamy, Savitha, Zimmermann, Roger
Spatio-temporal graph neural networks have demonstrated efficacy in capturing complex dependencies for urban computing tasks such as forecasting and kriging. However, their performance is constrained by the reliance on extensive data for training on
Externí odkaz:
http://arxiv.org/abs/2405.12452
Spatio-temporal graph learning is a fundamental problem in modern urban systems. Existing approaches tackle different tasks independently, tailoring their models to unique task characteristics. These methods, however, fall short of modeling intrinsic
Externí odkaz:
http://arxiv.org/abs/2310.17360
Multivariate time series forecasting plays a pivotal role in contemporary web technologies. In contrast to conventional methods that involve creating dedicated models for specific time series application domains, this research advocates for a unified
Externí odkaz:
http://arxiv.org/abs/2310.09751
Publikováno v:
Jixie qiangdu, Vol 38, Pp 144-150 (2016)
In order to reduce the temperature effects on compliant mechanisms,the comparative analysis of temperature effects on four kinds of typical flexure hinge with straight-beam,circular,elliptic and parabolic section is carried out,so that we can choose
Externí odkaz:
https://doaj.org/article/4c4ec54ff9ce4bfda4e9160344a45e27
Autor:
Liu, Xu, Xia, Yutong, Liang, Yuxuan, Hu, Junfeng, Wang, Yiwei, Bai, Lei, Huang, Chao, Liu, Zhenguang, Hooi, Bryan, Zimmermann, Roger
Road traffic forecasting plays a critical role in smart city initiatives and has experienced significant advancements thanks to the power of deep learning in capturing non-linear patterns of traffic data. However, the promising results achieved on cu
Externí odkaz:
http://arxiv.org/abs/2306.08259
We study the task of spatio-temporal extrapolation that generates data at target locations from surrounding contexts in a graph. This task is crucial as sensors that collect data are sparsely deployed, resulting in a lack of fine-grained information
Externí odkaz:
http://arxiv.org/abs/2305.18719
Autor:
Ye, Mengjie1 (AUTHOR), Hu, Junfeng1 (AUTHOR), Han, Linlin1 (AUTHOR), Zhang, Hengbo1 (AUTHOR), Xue, Peng1 (AUTHOR), Kang, Yuejun1 (AUTHOR), Bai, Shuang2 (AUTHOR) shuangbai@xjtufh.edu.cn, Xu, Zhigang1,3,4,5 (AUTHOR) zgxu@swu.edu.cn
Publikováno v:
Advanced Science. 10/16/2024, Vol. 11 Issue 38, p1-17. 17p.
Publikováno v:
In Pattern Recognition October 2024 154