Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhili Xiang"'
Publikováno v:
AIP Advances, Vol 13, Iss 12, Pp 125215-125215-15 (2023)
The clutch temperature field is critical for the clutch design and lifetime analysis. In this paper, a new approach for reconstructing the temperature field of the clutch assembly based on the inverse analysis of thermal boundary conditions is presen
Externí odkaz:
https://doaj.org/article/df85695f11b6437f8bbb03f416c01d3c
Publikováno v:
IEEE Access, Vol 8, Pp 47013-47020 (2020)
Convolutional neural network-based methods are attracting increasing attention in steganalysis. However, steganalysis for content-adaptive image steganography in the spatial domain is still a difficult problem. In this paper, a new convolutional neur
Externí odkaz:
https://doaj.org/article/c4efd17e6d204c46a787da34b5e25fa9
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 19199-19211 (2015)
Gyrator transform has been widely used for image encryption recently. For gyrator transform-based image encryption, the rotation angle used in the gyrator transform is one of the secret keys. In this paper, by analyzing the properties of the gyrator
Externí odkaz:
https://doaj.org/article/49418497a7774e2498bb1777eb8b18f3
Publikováno v:
Applied Sciences, Vol 8, Iss 12, p 2367 (2018)
In recent years, the trampling events due to overcrowding have occurred frequently, which leads to the demand for crowd counting under a high-density environment. At present, there are few studies on monitoring crowds in a large-scale crowded environ
Externí odkaz:
https://doaj.org/article/94f50a2238bc4fbcbcad341ee7a932c1
Publikováno v:
Computer Modeling in Engineering & Sciences. 131:1653-1667
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca2db96618d94670343f36ca62ef2c9
https://doi.org/10.32604/cmes.2022.019280
https://doi.org/10.32604/cmes.2022.019280
Publikováno v:
IEEE Access, Vol 8, Pp 47013-47020 (2020)
Convolutional neural network-based methods are attracting increasing attention in steganalysis. However, steganalysis for content-adaptive image steganography in the spatial domain is still a difficult problem. In this paper, a new convolutional neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0ea45eeaee77c27aa7f2aed105445f5
https://ieeexplore.ieee.org/document/9026970/
https://ieeexplore.ieee.org/document/9026970/
Publikováno v:
2021 7th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO).
Screw feed systems are widely used for various machines such as lathes, milling machines and other processing equipment. However, the speed is difficult to meet the demand of different working conditions. To improve the performance of in common screw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31160062b300c03f3e7d2601a7b1f11a
https://doi.org/10.1109/cmmno53328.2021.9467553
https://doi.org/10.1109/cmmno53328.2021.9467553
Publikováno v:
2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).
In the shipping industry, parts of a ship are prone to damage after a long voyage. Due to working under high pressure and high load for a long time, the connecting thread of the nut will get stick, which makes the parts in poor operation. This failur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3e264093c6349d1e01a602e5be55779
https://doi.org/10.1109/icsmd50554.2020.9261706
https://doi.org/10.1109/icsmd50554.2020.9261706
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616083
ICANN (1)
ICANN (1)
Crowd counting aims to estimate the number of pedestrians in a single image. Current crowd counting methods usually obtain counting results by integrating density maps. However, the label density map generated by the Gaussian kernel cannot accurately
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::072d5bbd799932fdb9c5a34c70df6d90
https://doi.org/10.1007/978-3-030-61609-0_19
https://doi.org/10.1007/978-3-030-61609-0_19
Publikováno v:
Applied Sciences
Volume 8
Issue 12
Applied Sciences, Vol 8, Iss 12, p 2367 (2018)
Volume 8
Issue 12
Applied Sciences, Vol 8, Iss 12, p 2367 (2018)
In recent years, the trampling events due to overcrowding have occurred frequently, which leads to the demand for crowd counting under a high-density environment. At present, there are few studies on monitoring crowds in a large-scale crowded environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c86ce7f44d898dd5b2471ed95875ff2c