Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jingyue Pan"'
Autor:
Jingyue Pan, Qingquan Liu, Hao Sun, Weibo Zheng, Peiru Wang, Long Wen, Junli Duan, Zhiyi Xuan, Xiang Yu, Shaowei Wang, Xiuli Wang, Tao Zhang, Wei Lu
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 14, Iss 2, Pp 2050026-1-2050026-9 (2021)
Fluorescence imaging is very useful for skin cancer lesions detection because of its properties of noninvasion and fast imaging. However, conventional fluorescence imaging devices’ excitation light source and camera are usually separated, which wil
Externí odkaz:
https://doaj.org/article/b78a1b41bd4d4a40907ed6437623ce9b
Autor:
Shao-Wei Wang, Yu Xiang, Wei Lu, Weibo Zheng, Liu Qingquan, Jingyue Pan, Junli Duan, Xiuli Wang, Zhiyi Xuan, Tao Zhang, Sun Hao, Peiru Wang, Long Wen
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 14, Iss 2, Pp 2050026-1-2050026-9 (2021)
Fluorescence imaging is very useful for skin cancer lesions detection because of its properties of noninvasion and fast imaging. However, conventional fluorescence imaging devices’ excitation light source and camera are usually separated, which wil
Publikováno v:
IEEE Access, Vol 5, Pp 19269-19281 (2017)
In aerospace engineering, condition monitoring is an important reference for evaluating the performance of complex systems. Especially, effective anomaly detection, based on telemetry data, plays an important role for the system health management of
Externí odkaz:
https://doaj.org/article/878a72fe6a2a41e2b3d875c7a7ad1e74
Publikováno v:
Sensors, Vol 19, Iss 3, p 722 (2019)
Telemetry series, generally acquired from sensors, are the only basis for the ground management system to judge the working performance and health status of orbiting spacecraft. In particular, anomalies within telemetry can reflect sensor failure, tr
Externí odkaz:
https://doaj.org/article/2ee9a4292ecc4d0e81ff1452271bb2bf
Publikováno v:
Energies, Vol 11, Iss 6, p 1420 (2018)
The accurate prognostics of lithium-ion battery state of health (SOH) and remaining useful life (RUL) have great significance for reducing the costs of maintenance. The methods based on the physical models cannot perform satisfactorily as the systems
Externí odkaz:
https://doaj.org/article/fc7fa265518841d1b64afd3999ec5745
Publikováno v:
Sensors, Vol 18, Iss 4, p 967 (2018)
Effective anomaly detection of sensing data is essential for identifying potential system failures. Because they require no prior knowledge or accumulated labels, and provide uncertainty presentation, the probability prediction methods (e.g., Gaussia
Externí odkaz:
https://doaj.org/article/80ac645ec2d440a88295c7ad1f0779a1