Zobrazeno 1 - 10
of 2 076
pro vyhledávání: '"Sang, C"'
Publikováno v:
IEEE Access, Vol 11, Pp 92913-92925 (2023)
Bilateration is one of the localization methods that provides the location information of the target node using two anchors’ location information and two distances between the target node and each anchor. This paper shows that bilateration with dif
Externí odkaz:
https://doaj.org/article/c2480730a06d4275937f3729fb685ef0
Akademický článek
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Publikováno v:
In Digital Communications and Networks February 2021 7(1):37-44
Autor:
Zhang, M. Z., Sang, C. F., Zhao, M. L., Rognlien, T. D., Zhang, C., Wang, Y. L., Bian, Y., Wang, Y.
Publikováno v:
Contributions to Plasma Physics; Aug2024, Vol. 64 Issue 7/8, p1-9, 9p
Publikováno v:
Digital Communications and Networks, Vol 7, Iss 1, Pp 37-44 (2021)
A substantial body of work has been done to identify network anomalies using supervised and unsupervised learning techniques with their unique strengths and weaknesses. In this work, we propose a new approach that takes advantage of both worlds of un
Externí odkaz:
https://doaj.org/article/c9a0d392f6364502b42a4d8b98d4c5d9
Publikováno v:
In Digital Communications and Networks August 2019 5(3):139-146
Publikováno v:
In Computers & Industrial Engineering February 2019 128:180-191
Publikováno v:
Digital Communications and Networks, Vol 5, Iss 3, Pp 139-146 (2019)
Network application identification is one of the core elements in network operations and management to provide enhanced network service and security. For accurate identification, an approach using common patterns called “signatures” is widely use
Externí odkaz:
https://doaj.org/article/7ad05889a5004902938ca19d759d9c28
Publikováno v:
Cancer Management and Research, Vol Volume 11, Pp 3691-3701 (2019)
Miaomei Yu,1 Lili Pan,1 Chen Sang,2 Qinfeng Mu,1 Lu Zheng,1 Guanghua Luo,1 Ning Xu31Comprehensive Laboratory, the Third Affiliated Hospital of Soochow University, Changzhou 213003, People’s Republic of China; 2Department of Cardiothoracic Surgery,
Externí odkaz:
https://doaj.org/article/27ae60287a694a2fb62087ccddad9478
Publikováno v:
IEEE Access, Vol 7, Pp 140806-140817 (2019)
Deep learning has been widely studied in many technical domains such as image analysis and speech recognition, with its benefits that effectively deal with complex and high-dimensional data. Our preliminary experiments show a high degree of non-linea
Externí odkaz:
https://doaj.org/article/cec41745ee18433ab25ae0edb7e04a93