7 citations · 10 across the 6 of their papers we have counts for
6 papers
QLook:Quantum-Driven Viewport Prediction for Virtual Reality
Niusha Sabri Kadijani, Yoga Suhas Kuruba Manjunath, Xiaodan Bi +1
We propose QLook, a quantum-driven predictive framework to improve viewport prediction accuracy in immersive virtual reality (VR) environments. The framework utilizes quantum neura…
ResLearn: Transformer-based Residual Learning for Metaverse Network Traffic Prediction
Yoga Suhas Kuruba Manjunath, Mathew Szymanowski, Austin Wissborn +3
Our work proposes a comprehensive solution for predicting Metaverse network traffic, addressing the growing demand for intelligent resource management in eXtended Reality (XR) serv…
Discern-XR: An Online Classifier for Metaverse Network Traffic
Yoga Suhas Kuruba Manjunath, Austin Wissborn, Mathew Szymanowski +3
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…
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang +1
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 s…
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things
Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang
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…
Virtual Reality Gaming on the Cloud: A Reality Check
Sihao Zhao, Hatem Abou-zeid, Ramy Atawia +3
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…