Zobrazeno 1 - 10
of 811
pro vyhledávání: '"Jia Xiaofeng"'
Autor:
JIA Xiaofeng, QIN Rui, WANG Shouwen, QI Hongwei, WANG Fei-Yue, LI Juanjuan, ZHANG Min, LIANG Xiaolong
Publikováno v:
智能科学与技术学报, Vol 6, Pp 210-219 (2024)
The acceleration of digital transformation has made data a core element driving technological innovation and economic growth. However, the widespread phenomenon of data island severely hinders data circulation and collaboration across different field
Externí odkaz:
https://doaj.org/article/eaa1464887a443e88d3f146f9ca5bcca
Publikováno v:
Tongxin xuebao, Vol 45, Pp 27-38 (2024)
The ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. However, existing privacy protection inference frameworks had problems such as low computational effic
Externí odkaz:
https://doaj.org/article/a64f17448f4f44e08e5bcad2fb4a4c97
Autor:
Hu Zhimin, Jia Xiaofeng, Yang Juntao, Qi Jianwei, Hao Sha, Xue Xiaojuan, Cheng Tao, Zhang Boli, Liu Depei
Publikováno v:
中国工程科学, Vol 25, Iss 5, Pp 64-71 (2023)
Novel research and development (R&D) institutions are an important organizational form of scientific and technological innovation in China. Novel R&D institutions in life sciences and medicine are oriented toward people’s life and health and play a
Externí odkaz:
https://doaj.org/article/35e6e5c253134e768e8f76b126efafdf
Publikováno v:
Jixie qiangdu, Pp 1017-1023 (2023)
To accurately characterize the different operating states of the rotor system, a modified variational mode decomposition（MVMD） combined with instantaneous energy distribution permutation entropy（IEDPE） is proposed to quantify and extract roto
Externí odkaz:
https://doaj.org/article/e771ae3521a7406a8540452a4a903500
In modern mobile applications, users frequently encounter various new contexts, necessitating on-device continual learning (CL) to ensure consistent model performance. While existing research predominantly focused on developing lightweight CL framewo
Externí odkaz:
http://arxiv.org/abs/2410.18378
Publikováno v:
Information Fusion 2024
As the concept of Industries 5.0 develops, industrial metaverses are expected to operate in parallel with the actual industrial processes to offer ``Human-Centric" Safe, Secure, Sustainable, Sensitive, Service, and Smartness ``6S" manufacturing solut
Externí odkaz:
http://arxiv.org/abs/2404.07476
Autor:
Li Shengtao, Xu Tianfu, Zhang Senqi, Jia Xiaofeng, Tian Puyuan, Yue Dongdong, Zhang Qiuxia, Feng Bo, Feng Zhaolong
Publikováno v:
Energy Exploration & Exploitation, Vol 37 (2019)
Hot dry rock is regarded as the clean energy of the future and is an important part of geothermal resources, with great research value and development prospects. The Weishan volcano, located in the northern part of the Wudalianchi volcanic group, was
Externí odkaz:
https://doaj.org/article/63422b4a05f1438097310e75ce0c344b
Publikováno v:
E3S Web of Conferences, Vol 131, p 01084 (2019)
With the development of the economy and the continuous improvement of social demand, the impervious area is more and more representative of the urbanization process and economic development level of the society. Anhui Province is a big province, and
Externí odkaz:
https://doaj.org/article/3cba512e43474a91bf565100bd87fa7b
Autor:
Fan, Hang, Fan, Xiaoyu, Hao, Tianyi, Wei, Wei, Chen, Kun, Wang, Guosai, Jia, Xiaofeng, Li, Yidong, Xu, Wei
Mining the spatial and temporal correlation of wind farm output data is beneficial for enhancing the precision of ultra-short-term wind power prediction. However, if the wind farms are owned by separate entities, they may be reluctant to share their
Externí odkaz:
http://arxiv.org/abs/2301.13513
As a representative of public transportation, the fundamental issue of managing bike-sharing systems is bike flow prediction. Recent methods overemphasize the spatio-temporal correlations in the data, ignoring the effects of contextual conditions on
Externí odkaz:
http://arxiv.org/abs/2301.07843