Zobrazeno 1 - 10
of 270
pro vyhledávání: '"Lan, Qiao"'
The 6G mobile networks are differentiated from 5G by two new usage scenarios - distributed sensing and edge AI. Their natural integration, termed integrated sensing and edge AI (ISEA), promised to create a platform for enabling environment perception
Externí odkaz:
http://arxiv.org/abs/2404.17973
Sensing is envisioned as a key network function of the 6G mobile networks. Artificial intelligence (AI)-empowered sensing fuses features of multiple sensing views from devices distributed in edge networks for the edge server to perform accurate infer
Externí odkaz:
http://arxiv.org/abs/2302.09771
As a new function of 6G networks, edge intelligence refers to the ubiquitous deployment of machine learning and artificial intelligence (AI) algorithms at the network edge to empower many emerging applications ranging from sensing to auto-pilot. To s
Externí odkaz:
http://arxiv.org/abs/2301.00403
Publikováno v:
All Life, Vol 17, Iss 1 (2024)
The present study investigated the effect of Gastrodia elata extracts (GE) on chronic electric foot-shock stress (cEFS)-induce anxiety-like behaviors in male C57BL/6 mice. Mice were administered GE (200 or 400 mg/kg/day, oral), and then exposed to cE
Externí odkaz:
https://doaj.org/article/5600eb36518c4eb38e14516c9ce36816
Publikováno v:
Case Studies in Construction Materials, Vol 21, Iss , Pp e03411- (2024)
During conventional highway construction, quality control and acceptance (QC/QA) are based on limited spot tests of material density at random locations which may not comprehensively represent the entire compacted area and are vulnerable to potential
Externí odkaz:
https://doaj.org/article/d3a7b32bd3d14fdaac4f078ab4dfba30
Autor:
Ya Yin, Lan Qiao, Qingwen Li, Lu Chen, Miao Miao, Jinshui Dong, Linbo Song, An Luo, Haiqi Zheng
Publikováno v:
Case Studies in Construction Materials, Vol 20, Iss , Pp e03345- (2024)
The functional backfilling in mining achieves synergistic co-mining of deep-earth deposits-geothermal, and the development of functional filling materials with suitable phase change parameters and excellent physicochemical properties is imminent. Thi
Externí odkaz:
https://doaj.org/article/a6a4adc86d0a4c87bc3edbe8ebc863ff
The deployment of inference services at the network edge, called edge inference, offloads computation-intensive inference tasks from mobile devices to edge servers, thereby enhancing the former's capabilities and battery lives. In a multiuser system,
Externí odkaz:
http://arxiv.org/abs/2204.05223
Autor:
Chang, Zhiyu, Deng, Qingchen, Wu, Yujuan, Feng, Jian, Li, Daquan, Ren, Xukai, Yu, Huanwei, Du, Xiyong, Wang, Guobiao, Jin, Yuhao, Lan, Qiao, Liu, Baoliang, Peng, Liming, Ding, Wenjiang
Publikováno v:
In Journal of Alloys and Compounds 25 October 2024 1003
Publikováno v:
In Journal of Water Process Engineering September 2024 66
Autor:
Huang, Jingwen, Peng, Lingyun, Ti, Chaopu, Shan, Jun, Wang, Shuwei, Lan, Qiao, Gao, Shuang, Yan, Xiaoyuan
Publikováno v:
In Journal of Environmental Management August 2024 365