Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Chengqiang, Huang"'
Autor:
Jie Liu, Zelong Cai, Kuanfang He, Chengqiang Huang, Xianxin Lin, Zhenyong Liu, Zhicong Li, Minsheng Chen
Publikováno v:
Sensors, Vol 24, Iss 23, p 7429 (2024)
During the production process of inkjet printing labels, printing defects can occur, affecting the readability of product information. The distinctive shapes and subtlety of printing defects present a significant challenge for achieving high accuracy
Externí odkaz:
https://doaj.org/article/0288842bc08b4b64a20ab6838f094ffc
Publikováno v:
IEEE Transactions on Big Data. 8:60-72
As a powerful architecture for large-scale computation, cloud computing has revolutionized the way that computing infrastructure is abstracted and utilized. Coupled with the challenges caused by Big Data, the rocketing development of cloud computing
Publikováno v:
2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS).
Publikováno v:
IEEE/ACM Transactions on Networking. 28:2037-2050
Knowledge of node locations is essential to Wireless Sensor Networks (WSNs) in a wide range of potential applications and their function-dependent network protocols. A number of localization approaches have already been proposed to fulfill this requi
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IJCNN
Neural network robustness has been a hot research topic since the discovery of adversarial examples. With the increasing threats posed by adversarial examples in safety-critical AI applications, the research problem of how to boost the robustness of
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030863616
ICANN (1)
ICANN (1)
Neural network robustness measurement is a critical step before deploying neural network applications. However, existing methods, such as neural network verification and validation, do not fully meet our criteria for robustness measurement. From the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d34a92e1bf0c71bc05a43724d0e9b565
https://doi.org/10.1007/978-3-030-86362-3_7
https://doi.org/10.1007/978-3-030-86362-3_7
Publikováno v:
INFOCOM Workshops
Network fault localization has always been a major challenge for efficient data center operation. In this paper, we propose a faulty link localization framework named “Terminator,” which provides an efficient hierarchical link probing scheme for
Publikováno v:
IJCNN
Convex hull analysis is a key research tool under the broad umbrella of machine learning and finds applications in various domains. However, due to the fact that traditional convex hull analysis usually targets low-dimensional space and just roughly
Publikováno v:
Journal of the Optical Society of America. A, Optics, image science, and vision. 35(6)
The sub-pixel arrangement of the RGBG panel and the image with RGB format are different and the algorithm that converts RGB to RGBG is urgently needed to display an image with RGB arrangement on the RGBG panel. However, the information loss is still