Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yoga Suhas"'
Publikováno v:
Discover Artificial Intelligence, Vol 3, Iss 1, Pp 1-16 (2023)
Abstract Blockchain technology (BT) allows market participants to keep track of digital transactions without central recordkeeping. The features of blockchain, including decentralization, persistency, and attack resistance, allow data security and pr
Externí odkaz:
https://doaj.org/article/2714d93c473a40c2baebb83f0d1562c9
Autor:
Manjunath, Yoga Suhas Kuruba, Wissborn, Austin, Szymanowski, Mathew, Li, Mushu, Zhao, Lian, Zhang, Xiao-Ping
In this paper, we design an exclusive Metaverse network traffic classifier, named Discern-XR, to help Internet service providers (ISP) and router manufacturers enhance the quality of Metaverse services. Leveraging segmented learning, the Frame Vector
Externí odkaz:
http://arxiv.org/abs/2411.05184
Deep learning-based network traffic classification (NTC) techniques, including conventional and class-of-service (CoS) classifiers, are a popular tool that aids in the quality of service (QoS) and radio resource management for the Internet of Things
Externí odkaz:
http://arxiv.org/abs/2409.05096
Autor:
Manjunath, Yoga Suhas Kuruba, Zhao, Sihao, Abou-zeid, Hatem, Sediq, Akram Bin, Atawia, Ramy, Zhang, Xiao-Ping
Class-of-service (CoS) network traffic classification (NTC) classifies a group of similar traffic applications. The CoS classification is advantageous in resource scheduling for Internet service providers and avoids the necessity of remodelling. Our
Externí odkaz:
http://arxiv.org/abs/2208.01793
The plethora of Internet of Things (IoT) devices leads to explosive network traffic. The network traffic classification (NTC) is an essential tool to explore behaviours of network flows, and NTC is required for Internet service providers (ISPs) to ma
Externí odkaz:
http://arxiv.org/abs/2109.14696
Autor:
Zhao, Sihao, Abou-zeid, Hatem, Atawia, Ramy, Manjunath, Yoga Suhas Kuruba, Sediq, Akram Bin, Zhang, Xiao-Ping
Cloud virtual reality (VR) gaming traffic characteristics such as frame size, inter-arrival time, and latency need to be carefully studied as a first step toward scalable VR cloud service provisioning. To this end, in this paper we analyze the behavi
Externí odkaz:
http://arxiv.org/abs/2109.10114
Publikováno v:
In Electronic Commerce Research and Applications May-June 2021 47
Autor:
Yoga Suhas Kuruba Manjunath, Sihao Zhao, Hatem Abou-zeid, Akram Bin Sediq, Ramy Atawia, Xiao-Ping Zhang
Class-of-service (CoS) network traffic classification (NTC) classifies a group of similar traffic applications. The CoS classification is advantageous in resource scheduling for Internet service providers and avoids the necessity of remodelling. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29abd1eba23bf22396d41663170f62b4
http://arxiv.org/abs/2208.01793
http://arxiv.org/abs/2208.01793
Publikováno v:
International Journal of Image & Graphics; Mar2023, Vol. 23 Issue 2, p1-16, 16p
Publikováno v:
International Journal of Image and Graphics. 23
Biometrics is an active area of research because of the increase in need for accurate person identification in numerous applications ranging from entertainment to security. Unimodal and multimodal are the well-known biometric methods. Unimodal biomet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::676007d8d1edf0b639c4d53361b641c9
https://doi.org/10.1142/s0219467823500195
https://doi.org/10.1142/s0219467823500195