Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Wenlong Ke"'
Publikováno v:
Dianxin kexue, Vol 39, Pp 116-128 (2023)
In recent years, emotion recognition methods based on deep learning and electroencephalogram (EEG) have achieved good results.However, existing methods still have issues such as incomplete extraction of emotional features from EEG and significant imp
Externí odkaz:
https://doaj.org/article/54131973ec2b48f7917419aa912d896d
Publikováno v:
IEEE Access, Vol 9, Pp 79793-79805 (2021)
Edge storage, as a supplement to cloud storage, reduces latency by providing services in a timely and efficient manner near the source. In a collaborative edge storage datacenter network (CESN), not only does the edge storage datacenter (ESDC) that i
Externí odkaz:
https://doaj.org/article/88133014ca7d4ba4a8481686353bd562
Publikováno v:
Tongxin xuebao, Vol 41, Pp 40-51 (2020)
In order to solve the problem that existing flow scheduling method is difficult to meet the different multicast scheduling requirements of multi-service flows in the Ceph cloud storage network,a service priority-based multicast flow scheduling method
Externí odkaz:
https://doaj.org/article/0873f99052c94a0b8bf9f45f96e8780b
Publikováno v:
Tongxin xuebao, Vol 39, Pp 14-23 (2018)
Since the feature selection process will directly affect the accuracy of the traffic classification based on the traditional machine learning method,a traffic classification algorithm based on convolution neural network was tailored.First,the min-max
Externí odkaz:
https://doaj.org/article/f76748e2dd09440cb21a27561b65b5fc
Publikováno v:
Information, Vol 7, Iss 1, p 6 (2016)
Currently, with the rapid increasing of data scales in network traffic classifications, how to select traffic features efficiently is becoming a big challenge. Although a number of traditional feature selection methods using the Hadoop-MapReduce fram
Externí odkaz:
https://doaj.org/article/2380b3b4d2bd4ae296a31b0569ba335e
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-15
Erasure coding has been widely deployed in today’s data centers for it can significantly reduce extra storage costs while providing high storage reliability. However, erasure coding introduced more network traffic and computational overhead in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19dfe6b99af529f2c547a0394bec816d
https://doi.org/10.1155/2022/5392474
https://doi.org/10.1155/2022/5392474
Publikováno v:
IEEE Access, Vol 9, Pp 79793-79805 (2021)
Edge storage, as a supplement to cloud storage, reduces latency by providing services in a timely and efficient manner near the source. In a collaborative edge storage datacenter network (CESN), not only does the edge storage datacenter (ESDC) that i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf26d459c64b67f2c158d35eecaef78
https://ieeexplore.ieee.org/document/9443196/
https://ieeexplore.ieee.org/document/9443196/
Publikováno v:
China Communications. 17:164-179
The proliferation of the global datasphere has forced cloud storage systems to evolve more complex architectures for different applications. The emergence of these application session requests and system daemon services has created large persistent f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d470686b00050c753361b549f4e98489
https://doi.org/10.23919/jcc.2020.06.014
https://doi.org/10.23919/jcc.2020.06.014
Publikováno v:
CIS
Data mining is the focus of big data applications in various fields. Data pre-processing is a crucial step in the data mining process. With the development of the information society and the application of databases, the educational data has seen exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42278173f5846d1e037c6b96721f081f
https://doi.org/10.1109/cis52066.2020.00060
https://doi.org/10.1109/cis52066.2020.00060
Publikováno v:
CIS
In recent years, with the rapid development of the Internet, the data scale of application behavior and application traffic have exploded. How to classify the real-time traffic of network becomes a big challenge. How to balance the accuracy and real-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c01f1b5c56245f1a177a2ab0177c05d
https://doi.org/10.1109/cis2018.2018.00036
https://doi.org/10.1109/cis2018.2018.00036