Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Guangjun, Qin"'
Convolutional Neural Network (CNN) struggle to capture the multi-dimensional structural information of complex high-dimensional data, which limits their feature learning capability. This paper proposes a feature fusion method based on Topological Dat
Externí odkaz:
http://arxiv.org/abs/2407.09518
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 960 (2023)
The Non-Volatile Memory Express (NVMe) SSD provides high I/O performance for current computer systems, and direct memory access (DMA) is the critical enabling mechanism for direct I/O. However, the lengthy I/O stack becomes a new bottleneck that degr
Externí odkaz:
https://doaj.org/article/2482aebc98c34533b64c18224ec2da69
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6417 (2022)
With the emergence of the tactile internet, low-latency, even, real-time data transmission is indispensable for human-agent–robot teamwork. Offloading is considered a feasible approach. Determining the offloading solution according to the dynamic n
Externí odkaz:
https://doaj.org/article/5617f325cf6241188d36f58d55c74bdb
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:2703-2713
Flink is regarded as a promising distributed data processing engine for unifying bounded data and unbounded data. Unbalanced workloads upon multiple workers/task managers/servers in the Flink bring congestion, which will lead to the quality of servic
Publikováno v:
IEEE Access, Vol 6, Pp 51776-51790 (2018)
The integrity measurement method is used to detect whether the files are tampered with and to build a trusted environment. It can improve the security of virtual machines using base and increment image. Currently, the traditional integrity measuremen
Externí odkaz:
https://doaj.org/article/1c5d9d6fc01c4ed1b9bf3bd25a9c0f05
Publikováno v:
The Journal of Supercomputing. 78:16088-16117
Publikováno v:
Journal of Systems Architecture. 135:102803
Publikováno v:
Frontiers of Computer Science. 16
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783030953836
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97362898132cf2e7ab33caf0682655f3
https://doi.org/10.1007/978-3-030-95384-3_17
https://doi.org/10.1007/978-3-030-95384-3_17
Publikováno v:
Journal of Energy Storage. 53:105133