38 citations · 47 across the 13 of their papers we have counts for
13 papers
A Hybrid Noise Approach to Modelling of Free-Space Satellite Quantum Communication Channel for Continuous-Variable QKD
Mouli Chakraborty, Anshu Mukherjee, Ioannis Krikidis +2
This paper significantly advances the application of Quantum Key Distribution (QKD) in Free- Space Optics (FSO) satellite-based quantum communication. We propose an innovative sate…
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors
Guoxin Wang, Shreejith Shanker, Avishek Nag +2
Wearable Internet of Things (IoT) devices are gaining ground for continuous physiological data acquisition and health monitoring. These physiological signals can be used for securi…
Hybrid Quantum Noise Approximation and Pattern Analysis on Parameterized Component Distributions
Mouli Chakraborty, Anshu Mukherjee, Ioannis Krikidis +2
Noise is a vital factor in determining the accuracy of processing the information of the quantum channel. One must consider classical noise effects associated with quantum noise so…
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis
Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer +2
Unsupervised learning methods have become increasingly important in deep learning due to their demonstrated large utilization of datasets and higher accuracy in computer vision and…
Dynamic Prioritization and Adaptive Scheduling using Deep Deterministic Policy Gradient for Deploying Microservice-based VNFs
Swarna B. Chetty, Hamed Ahmadi, Avishek Nag
The Network Function Virtualization (NFV)-Resource Allocation (RA) problem is NP-Hard. Traditional deployment methods revealed the existence of a starvation problem, which the rese…
Frequency-centroid features for word recognition of non-native English speakers
Pierre Berjon, Rajib Sharma, Avishek Nag +1
The objective of this work is to investigate complementary features which can aid the quintessential Mel frequency cepstral coefficients (MFCCs) in the task of closed, limited set…
Analyzing the impact of feature selection on the accuracy of heart disease prediction
Muhammad Salman Pathan, Avishek Nag, Muhammad Mohisn Pathan +1
Heart Disease has become one of the most serious diseases that has a significant impact on human life. It has emerged as one of the leading causes of mortality among the people acr…
DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs
Sarthak Batra, Hewei Wang, Avishek Nag +4
Engagement is an essential indicator of the Quality-of-Learning Experience (QoLE) and plays a major role in developing intelligent educational interfaces. The number of people lear…
Identifying Stroke Indicators Using Rough Sets
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John +2
Stroke is widely considered as the second most common cause of mortality. The adverse consequences of stroke have led to global interest and work for improving the management and d…
Analysis of French Phonetic Idiosyncrasies for Accent Recognition
Pierre Berjon, Avishek Nag, Soumyabrata Dev
Speech recognition systems have made tremendous progress since the last few decades. They have developed significantly in identifying the speech of the speaker. However, there is a…
Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G
Hamed Ahmadi, Avishek Nag, Zaheer Khan +2
Digital Twin (DT) is a promising technology for the new immersive digital life with a variety of applications in areas such as Industry 4.0, aviation, and healthcare. Proliferation…
Continuous User Authentication using IoT Wearable Sensors
Conor Smyth, Guoxin Wang, Rajesh Panicker +3
Over the past several years, the electrocardiogram (ECG) has been investigated for its uniqueness and potential to discriminate between individuals. This paper discusses how this d…
An Overview on Application of Machine Learning Techniques in Optical Networks
Francesco Musumeci, Cristina Rottondi, Avishek Nag +4
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous data. This information can be retrieved from network traffic traces, network alar…