Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Youjia Chen"'
Autor:
Chengyan Zhang, Youjia Chen, Bart Julien Dewancker, Chaojie Shentu, Hao Tian, Yutong Liu, Jiangjun Wan, Xinyue Zhang, Jinghui Li
Publikováno v:
Buildings, Vol 14, Iss 3, p 793 (2024)
Addressing the emotional needs of the elderly in urban space design has increasingly become a vital concern. This study innovatively integrates emotional theories with the design of community outdoor spaces, thereby expanding the research on emotiona
Externí odkaz:
https://doaj.org/article/236f8b91837542b28fc65728e31c3be9
Publikováno v:
SN Applied Sciences, Vol 5, Iss 1, Pp 1-14 (2022)
Abstract This paper aims to propose an approach to automatically identify historic villages from remote sensing images based on deep learning algorithm and accurately calculate the villages’ geographical coordinates. Experimental datasets of Conghu
Externí odkaz:
https://doaj.org/article/e126e94bbdb44db29a25d1034c19abb8
Publikováno v:
IEEE Access, Vol 5, Pp 1296-1305 (2017)
Small-cell caching utilizes the embedded storage of small-cell base stations (SBS) to cache popular network contents, for the purpose of reducing duplicate transmissions in mobile networks and offloading the data traffic from macro-cell base stations
Externí odkaz:
https://doaj.org/article/1e151a4c47d548a28547f22061347bb9
Publikováno v:
IEEE Wireless Communications Letters. 12:917-921
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:6006-6015
Autor:
Youjia Chen, Baoxian Zhang, Ming Ding, David Lopez-Perez, Mahbub Hassan, Merouane Debbah, Zhizhang David Chen
Publikováno v:
IEEE Transactions on Vehicular Technology. 72:2082-2097
Publikováno v:
IEEE Internet of Things Journal. 9:23941-23953
Publikováno v:
China Communications. 19:146-161
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:10996-11010
In intelligent transportation systems (ITS), incomplete traffic data due to sensor malfunctions and communication faults, seriously restricts the related applications of ITS. Recovering missing data from incomplete traffic data becomes an important i
Publikováno v:
Sustainability; Volume 15; Issue 12; Pages: 9583
The number of leaves in maize seedlings is an essential indicator of their growth rate and status. However, manual counting of seedlings is inefficient and limits the scope of the investigation. Deep learning has shown potential for quickly identifyi