Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yanqi Zhou"'
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 32, Iss 2, Pp 198-208 (2023)
To improve the accuracy and efficiency of identifying the relationship between the root of the impacted mandibular third molar (M3M) and the mandibular canal in panoramic radiographs, we proposed an automatic method based on a deep convolutional neur
Externí odkaz:
https://doaj.org/article/aaba9ae511c94768b09f4fe89a9bdf1e
Publikováno v:
Entropy, Vol 24, Iss 5, p 742 (2022)
In order to improve the transmission efficiency and security of image encryption, we combined a ZUC stream cipher and chaotic compressed sensing to perform image encryption. The parallel compressed sensing method is adopted to ensure the encryption a
Externí odkaz:
https://doaj.org/article/6a18e0fe231a4eeab91436f8cf6be57e
Publikováno v:
Complexity, Vol 2021 (2021)
Considering the highly complex structure of quantum chaos and the nonstationary characteristics of speech signals, this paper proposes a quantum chaotic encryption and quantum particle swarm extraction method based on an underdetermined model. The pr
Externí odkaz:
https://doaj.org/article/ced41c764fa6489780107737c0796c41
Publikováno v:
Complexity, Vol 2020 (2020)
With the rapid development of information technology in today’s society, the security of transmission and the storage capacity of hardware are increasingly required in the process of image transmission. Compressed sensing technology can achieve dat
Externí odkaz:
https://doaj.org/article/8cc9a953f21947a18af5b529728f070e
Publikováno v:
Algorithms, Vol 14, Iss 6, p 165 (2021)
As the main method of information transmission, it is particularly important to ensure the security of speech communication. Considering the more complex multipath channel transmission situation in the wireless communication of speech signals and sep
Externí odkaz:
https://doaj.org/article/37f330edef59444d8a70554357aadab1
Publikováno v:
Entropy, Vol 23, Iss 5, p 570 (2021)
The network security transmission of digital images needs to solve the dual security problems of content and appearance. In this paper, a visually secure image compression and encryption scheme is proposed by combining compressed sensing (CS) and reg
Externí odkaz:
https://doaj.org/article/a005c35c731141c1bea7a10bf962a089
Publikováno v:
Security and Communication Networks. 2022:1-20
This article proposes an image encryption algorithm based on a chaotic bit-plane decomposition and optimization algorithm of a crossover operator artificial bee colony algorithm. Firstly, use the SHA-256 hash algorithm to calculate the plaintext imag
Publikováno v:
Asian Case Research Journal. 25:369-381
Autor:
Azalia Mirhoseini, Peter Ma, Daniel Lin-Kit Wong, Yanqi Zhou, James Laudon, Qiumin Xu, AmirAli Abdolrashidi, Sudip Roy
Publikováno v:
IEEE Micro. 40:26-36
With increasingly complex neural network architectures and heterogeneous device characteristics, finding a reasonable graph partitioning and device placement strategy is challenging. There have been prior attempts at learned approaches for solving de
Publikováno v:
IEEE Internet of Things Journal. 7:6325-6337
Machine learning (ML) has been embedded in many Internet of Things (IoT) applications (e.g., smart home and autonomous driving). Yet it is often infeasible to deploy ML models on IoT devices due to resource limitation. Thus, deploying trained ML mode