Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yankui Su"'
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Based on previous literature, the present study examines the effects of background music on English reading comprehension using eye tracking techniques. All the participants, whose first language was Chinese, were selected from a foreign language col
Externí odkaz:
https://doaj.org/article/428694a2569c425ba6cff015dfaa400f
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Despite recent research associating social class with subjective well-being (SWB), the relationship between the two, manifested through victim justice sensitivity and envy, has not been properly investigated. Guided by social comparison and social co
Externí odkaz:
https://doaj.org/article/97169581cf8f4b74b363d3871c29b26b
Autor:
Zhenxing Wang, Yankui Su
Publikováno v:
Psychiatria Danubina; 2022 Supplement, Vol. 34, pS1075-S1079, 5p
Rapid fabrication of superhydrophobic high-silicon aluminum alloy surfaces with corrosion resistance
Autor:
Yankui Sun, Danyang Zhao, Jinlong Song, Cong Wang, Zhihao Zhang, Liu Huang, Jiyu Liu, Ziai Liu
Publikováno v:
Results in Physics, Vol 12, Iss , Pp 1082-1088 (2019)
High-silicon aluminum alloy (high-Si Al alloy) usually used as the electronic packaging materials on the radar on ships have a susceptibility to corrosion, reducing the life of radar on ships. How to improve the corrosion-resistance ability of high-S
Externí odkaz:
https://doaj.org/article/2125566fef9841d3a1cfb25f4bcdec51
Publikováno v:
Algorithms, Vol 13, Iss 3, p 60 (2020)
Optical coherence tomography (OCT) is an optical high-resolution imaging technique for ophthalmic diagnosis. In this paper, we take advantages of multi-scale input, multi-scale side output and dual attention mechanism and present an enhanced nested U
Externí odkaz:
https://doaj.org/article/bd16390bc5f24a919b6e1db19dab9e38
Publikováno v:
Algorithms, Vol 12, Iss 3, p 51 (2019)
Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale natural images may not be suitable for medical images due to the intrinsic difference between the datasets. We propose a strategy to modify DNNs, which improves the
Externí odkaz:
https://doaj.org/article/04e0e5e5088c4191bd0be01d058fc589
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 9, Iss 2, Pp 1650008-1-1650008-18 (2016)
With the introduction of spectral-domain optical coherence tomography (SD-OCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, there is a critical need for the d
Externí odkaz:
https://doaj.org/article/1292e229cbe740a88e3733feba109081
Publikováno v:
Algorithms, Vol 11, Iss 6, p 88 (2018)
We present an automatic method based on transfer learning for the identification of dry age-related macular degeneration (AMD) and diabetic macular edema (DME) from retinal optical coherence tomography (OCT) images. The algorithm aims to improve the
Externí odkaz:
https://doaj.org/article/211c8fd431044cc19dd952a6a5f90da8
Publikováno v:
Sensors, Vol 17, Iss 4, p 689 (2017)
Rotating machinery is widely used in industrial applications. With the trend towards more precise and more critical operating conditions, mechanical failures may easily occur. Condition monitoring and fault diagnosis (CMFD) technology is an effective
Externí odkaz:
https://doaj.org/article/bc0c4a267a5244fc8b140a8fc3abea24