Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Yongzhao ZHAN"'
Publikováno v:
IET Blockchain, Vol 3, Iss 4, Pp 265-282 (2023)
Abstract Implementing effective regulation of blockchain transactions has become a research hotspot in recent years. However, most of the current regulatory schemes are customized for specific blockchain applications and lack versatility and scalabil
Externí odkaz:
https://doaj.org/article/5a0383b1666e4d5cbb74031f19e123ed
Autor:
Yuping XING, Yongzhao ZHAN
Publikováno v:
Tongxin xuebao, Vol 42, Pp 27-36 (2021)
To solve the problem of quickly obtaining the optimal ranking result in the crowdsourcing result aggregation, an efficient and effective aggregation algorithm of Worker’s weight was proposed.The Worker’s weight optimization model based on differe
Externí odkaz:
https://doaj.org/article/d88df336c46f43ab86576a09e3aa41a5
Publikováno v:
IEEE Access, Vol 8, Pp 1587-1599 (2020)
Clustering is one of the essential tools for data mining since it reveals the natural structures of the unlabeled data. Many clustering algorithms have been proposed in the last decades. However, few of them are designed to adapt prior knowledge that
Externí odkaz:
https://doaj.org/article/c2d51565410f4c698de2781f184949eb
Publikováno v:
IEEE Access, Vol 8, Pp 46427-46439 (2020)
Spectral clustering is a very popular graph-based clustering technique that partitions data groups based on the input data similarity matrix. Many past studies based on spectral clustering, however, do not consider the global discriminative structure
Externí odkaz:
https://doaj.org/article/7a691f3788cf49ed8ec3a75741973f8e
Autor:
Huifen Xia, Yongzhao Zhan
Publikováno v:
IEEE Access, Vol 8, Pp 70477-70487 (2020)
Temporal action localization is one of the most crucial and challenging problems for video understanding in computer vision. It has received a lot of attention in recent years because of the extensive application of daily life. Temporal action locali
Externí odkaz:
https://doaj.org/article/36fb41eec3c444a79faa90e015d4ab33
Publikováno v:
Symmetry, Vol 14, Iss 12, p 2656 (2022)
Symmetric encryption algorithms enable rapid encryption of data in IoT based supply chains, which helps to alleviate the concerns of supply chain participants about privacy disclosure when sharing data. However, in supply chain management where multi
Externí odkaz:
https://doaj.org/article/054bbc9632ae4fbda03258d892c262cd
Publikováno v:
Mathematics, Vol 10, Iss 23, p 4584 (2022)
The large-margin technique has served as the foundation of several successful theoretical and empirical results in multi-label image classification. However, most large-margin techniques are only suitable to shallow multi-label models with preset fea
Externí odkaz:
https://doaj.org/article/1181bd7b4cef483d95792913b5a508d1
Publikováno v:
IEEE Access, Vol 7, Pp 72457-72468 (2019)
Dimensional emotion recognition has attracted more and more researchers' attention from various fields including psychology, cognition, and computer science. In this paper, we propose an emotion-embedded visual attention model (EVAM) to learn emotion
Externí odkaz:
https://doaj.org/article/f794975e89b845b5905b8792d7e45e5d
Publikováno v:
IEEE Access, Vol 7, Pp 133351-133361 (2019)
Recently, crowdsourcing applications for smart cities have become more and more popular due to its higher work efficiency and lower work costs. However, the reasonable task assignment is still one of the important challenges for crowdsourcing. The ex
Externí odkaz:
https://doaj.org/article/eb2ff46360b34af89086cb502547c0b2
Publikováno v:
IEEE Access, Vol 6, Pp 34863-34873 (2018)
How to improve the I/O speed of storage systems is crucial for the ability of vehicle big data to meet the demand of vehicular social networks. Non-volatile memory (NVM) is an effective method for improving the performance of storage systems. Meanwhi
Externí odkaz:
https://doaj.org/article/ad2623418e35483e9ee95a0d348b1ce5