Zobrazeno 1 - 10
of 3 590
pro vyhledávání: '"CHEN Yongsheng"'
Autor:
Zhang Nan, Wang Tingyuan, Li Guanghao, Guo Lanjun, Liu Weiwei, Wang Ziyuan, Li Guanghui, Chen Yongsheng
Publikováno v:
Nanophotonics, Vol 12, Iss 15, Pp 3053-3067 (2023)
Terahertz (THz) wave plays important roles in the research of material properties, the non-invasive human security check and the next generation wireless communication. The progress of the scientific and technological applications of THz wave is stro
Externí odkaz:
https://doaj.org/article/5db85558d13c4369aa579d93da0eae77
Autor:
Chen Lilan, Chen Yongsheng
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
How to recruit, test, and train the intelligent recommendation system users, and how to assign the archive translation tasks to all intelligent recommendation system users according to the intelligent matching principles are still a problem that need
Externí odkaz:
https://doaj.org/article/ba9abe0d8afd448284c50c5dde2e544e
Autor:
Chen Lilan, Chen Yongsheng
Publikováno v:
IEEE Access, Vol 9, Pp 25809-25817 (2021)
Archival task allocation for Modern Canton Customs (1861-1949) is a heavy workload due to the massive quantities of data. An archival task allocation system is used to make the allocation process easier. However, traditional methods applied in the al
Externí odkaz:
https://doaj.org/article/d2aaa2040d7649ffa6449bc012c55d4c
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 47, Iss 10, Pp 782-787 (2020)
Objective To investigate the mortality trends of stomach cancer from 1972 to 2016 in Qidong, Jiangsu Province. Methods We collected and analyzed the mortality of stomach cancer in Qidong from 1972 to 2016 by gender and age from the cancer registry da
Externí odkaz:
https://doaj.org/article/7baad598ee3e47f2a532b58d093d2395
Autor:
Chen Yongsheng, Chen Lilan
Publikováno v:
IEEE Access, Vol 7, Pp 157902-157908 (2019)
This paper puts forward a digitalization model of Modern Guangdong Customs archives based on biomimetic pattern recognition. By introducing biomimetic pattern recognition, the digitalization of Modern Guangdong Customs archives becomes a social produ
Externí odkaz:
https://doaj.org/article/5495dc9b0cf64438b8e9d9db7c930e05
Semi-Lagrangian (SL) schemes are highly efficient for simulating transport equations and are widely used across various applications. Despite their success, designing genuinely multi-dimensional and conservative SL schemes remains a significant chall
Externí odkaz:
http://arxiv.org/abs/2405.01938
Autor:
Chen, Gerry, Narayanan, Sunil Kumar, Ottou, Thomas Gautier, Missaoui, Benjamin, Muriki, Harsh, Pradalier, Cédric, Chen, Yongsheng
Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples. There is growing interest in creating 3D hyperspectral reconstructions, which could provide both spati
Externí odkaz:
http://arxiv.org/abs/2403.14839
Machine-learning (ML) based discretization has been developed to simulate complex partial differential equations (PDEs) with tremendous success across various fields. These learned PDE solvers can effectively resolve the underlying solution structure
Externí odkaz:
http://arxiv.org/abs/2309.04943
Publikováno v:
MATEC Web of Conferences, Vol 308, p 05002 (2020)
Road traffic monitoring is very important for intelligent transportation. The detection of traffic state based on acoustic information is a new research direction. A vehicles acoustic event classification algorithm based on sparse autoencoder is prop
Externí odkaz:
https://doaj.org/article/50ee6aeccad74dcfb2a7c3127a339b20
Semi-Lagrangian (SL) schemes are known as a major numerical tool for solving transport equations with many advantages and have been widely deployed in the fields of computational fluid dynamics, plasma physics modeling, numerical weather prediction,
Externí odkaz:
http://arxiv.org/abs/2302.10398