Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Xianguang Kong"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2811-2823 (2023)
Abstract Accurate target detection in complex orchard environments is the basis for automatic picking and pollination. The characteristics of small, clustered and complex interference greatly increase the difficulty of detection. Toward this end, we
Externí odkaz:
https://doaj.org/article/7f619b23a812433e80a00a047336720c
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 3989-4002 (2022)
Abstract Video super-resolution (VSR) aims to recover the high-resolution (HR) contents from the low-resolution (LR) observations relying on compositing the spatial–temporal information in the LR frames. It is crucial to propagate and aggregate spa
Externí odkaz:
https://doaj.org/article/dec357697e284e2eb00265ad19f28438
Publikováno v:
Energy Science & Engineering, Vol 7, Iss 6, Pp 2633-2645 (2019)
Abstract Ice accretion on wind turbine blades is one of the major faults affecting the operational safety and power generation efficiency of wind turbines. Current icing detection methods are based on either meteorological observing system or extra c
Externí odkaz:
https://doaj.org/article/4f83f30c0cbe42cb8218dd6858d647fb
Publikováno v:
IEEE Access, Vol 7, Pp 163487-163501 (2019)
Due to the complex shield construction characteristics and the complex effects of geological environment, it is difficult to control the direction of shield tunneling and to determine the reasonable tunneling parameters such as tunneling speed and so
Externí odkaz:
https://doaj.org/article/a772d385b53b4a3e8e36b4f968946049
Publikováno v:
Micromachines, Vol 13, Iss 6, p 860 (2022)
The recognition of defects in the solder paste printing process significantly influences the surface-mounted technology (SMT) production quality. However, defect recognition via inspection by a machine has poor accuracy, resulting in a need for the m
Externí odkaz:
https://doaj.org/article/75c7e3a0272c482e816ff3237942f9a5
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
Output prediction is one of the difficult issues in production management. To overcome this difficulty, a dynamic-improved multiple linear regression model based on parameter evaluation using discrete Hopfield neural networks (DHNN) is presented. Fir
Externí odkaz:
https://doaj.org/article/f074932ba0b74c1bab7fd5dfdc0bed89
Autor:
Jiantao Chang, Wenting Lu, Xianguang Kong, Jielong Ren, Xinyu Li, Lei Yin, Yuhang Zhang, Dan Liu, Zhi Liu
Publikováno v:
Rock Mechanics and Rock Engineering. 56:3037-3054
Publikováno v:
Journal of Intelligent Manufacturing.
Publikováno v:
Reliability Engineering & System Safety. 236:109292
Publikováno v:
Journal of Intelligent Manufacturing. 34:587-613
Remaining useful life (RUL) prediction can effectively avoid unexpected mechanical breakdowns, thus improving operational reliability. However, the distribution discrepancy caused by different working conditions may lead to deterioration in the progn