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20212026
most citedTime-Distributed Feature Learning for Internet of Things Network Traffic Classification

7 citations · 10 across the 8 of their papers we have counts for

collaborators

8 papers

cs.MA2026

An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory

Ahmed Omar Salim Adnan, Yogananda Manjunath, Shivanjali Khare

Following the rapid progress of generative Artificial Intelligence, there is a growing threat posed by conversational scams. These scams often span over multiple weeks or months, g…

quant-ph2025

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…

cs.AI2024

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…

cs.AI2024

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…

eess.SP2024★ 7 cited

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…

eess.SP2022

Segmented Learning for Class-of-Service Network Traffic Classification

Yoga Suhas Kuruba Manjunath, Sihao Zhao, Hatem Abou-zeid +3

Class-of-service (CoS) network traffic classification (NTC) classifies a group of similar traffic applications. The CoS classification is advantageous in resource scheduling for In…

cs.NI2021★ 1 cited

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…

eess.SP2021★ 2 cited

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…