Tennessee Tech University

research

∙ 05/14/2019

LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs

This paper develops a new deep neural network optimized equalization fra...

Lei Chu, et al. ∙

research

∙ 01/27/2020

Practical Fast Gradient Sign Attack against Mammographic Image Classifier

Artificial intelligence (AI) has been a topic of major research for many...

Ibrahim Yilmaz, et al. ∙

research

∙ 10/09/2017

Random Projection and Its Applications

Random Projection is a foundational research topic that connects a bunch...

Mahmoud Nabil, et al. ∙

research

∙ 06/20/2017

Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams

Recently, there has been a growing interest in monitoring brain activity...

Lei Chu, et al. ∙

research

∙ 02/19/2012

Generalized FMD Detection for Spectrum Sensing Under Low Signal-to-Noise Ratio

Spectrum sensing is a fundamental problem in cognitive radio. We propose...

Feng Lin, et al. ∙

research

∙ 05/15/2011

Spectrum Sensing for Cognitive Radio Using Kernel-Based Learning

Kernel method is a very powerful tool in machine learning. The trick of ...

Shujie Hou, et al. ∙

research

∙ 05/03/2017

Reconstruction of Missing Big Sensor Data

With ubiquitous sensors continuously monitoring and collecting large amo...

Yongshuai Shao, et al. ∙

research

∙ 01/05/2018

Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach

In this paper, a data-driven Methodology is developed for the incipient ...

Xin Shi, et al. ∙

research

∙ 02/10/2018

A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location

Synchronized measurements of a large power grid enable an unprecedented ...

Zenan Ling, et al. ∙

research

∙ 07/02/2018

A Deep Learning Based Illegal Insider-Trading Detection and Prediction Technique in Stock Market

The stock market is a nonlinear, nonstationary, dynamic, and complex sys...

Sheikh Rabiul Islam, et al. ∙

research

∙ 08/27/2018

Adversarial Feature Learning of Online Monitoring Data for Operation Reliability Assessment in Distribution Network

With deployments of online monitoring systems in distribution networks, ...

Xin Shi, et al. ∙

research

∙ 09/12/2018

Privacy-preserving mHealth Data Release with Pattern Consistency

Mobile healthcare system integrating wearable sensing and wireless commu...

Mohammad Hadian, et al. ∙

research

∙ 09/19/2018

Efficient and Privacy-Preserving Ride SharingOrganization for Transferable andNon-Transferable Services

Ride-sharing allows multiple persons to share their trips together in on...

Mahmoud Nabil, et al. ∙

research

∙ 10/03/2018

EPIC: Efficient Privacy-Preserving Scheme with E2E Data Integrity and Authenticity for AMI Networks

In Advanced Metering Infrastructure (AMI) networks, smart meters should ...

Ahmad Alsharif, et al. ∙

research

∙ 05/14/2019

Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties

Recently, multi-user multiple input multiple output (MU-MIMO) systems wi...

Lei Chu, et al. ∙

research

∙ 05/27/2019

Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction

Although "black box" models such as Artificial Neural Networks, Support ...

Sheikh Rabiul Islam, et al. ∙

research

∙ 06/21/2019

B-Ride: Ride Sharing with Privacy-preservation, Trust and Fair Payment atop Public Blockchain

Ride-sharing is a service that enables drivers to share their trips with...

Mohamed Baza, et al. ∙

research

∙ 07/21/2019

Early Anomaly Detection in Power Systems Based on Random Matrix Theory

It is important for detecting the anomaly in power systems before it exp...

Xin Shi, et al. ∙

research

∙ 10/01/2019

Toward a Secure and Decentralized Blockchain-based Ride-Hailing Platform for Autonomous Vehicles

Ride-hailing and ride-sharing applications have recently gained in popul...

Ryan Shivers, et al. ∙

research

∙ 11/22/2019

Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response

Artificial Intelligence (AI) has become an integral part of modern-day s...

Sheikh Rabiul Islam, et al. ∙

research

∙ 02/15/2020

Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS

Cloud Infrastructure as a Service (IaaS) is vulnerable to malware due to...

Andrew McDole, et al. ∙

research

∙ 04/13/2020

Enabling and Enforcing Social Distancing Measures using Smart City and ITS Infrastructures: A COVID-19 Use Case

Internet of Things is a revolutionary domain that has the caliber to imp...

Maanak Gupta, et al. ∙

research

∙ 05/28/2020

Efficient Privacy-Preserving Electricity Theft Detection with Dynamic Billing and Load Monitoring for AMI Networks

In advanced metering infrastructure (AMI), smart meters (SMs) are instal...

Mohamed I. Ibrahem, et al. ∙

research

∙ 05/28/2020

Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning

The simultaneous charging of many electric vehicles (EVs) stresses the d...

Ahmed Shafee, et al. ∙

research

∙ 05/30/2020

The 'as Code' Activities: Development Anti-patterns for Infrastructure as Code

Context: The 'as code' suffix in infrastructure as code (IaC) refers to ...

Akond Rahman, et al. ∙

research

∙ 05/31/2020

An Exploratory Characterization of Bugs in COVID-19 Software Projects

Context: The dire consequences of the COVID-19 pandemic has influenced d...

Akond Rahman, et al. ∙

research

∙ 06/27/2020

XI Commandments of Kubernetes Security: A Systematization of Knowledge Related to Kubernetes Security Practices

Kubernetes is an open-source software for automating management of compu...

Md. Shazibul Islam Shamim, et al. ∙

research

∙ 07/20/2020

Future Smart Connected Communities to Fight COVID-19 Outbreak

Internet of Things (IoT) has grown rapidly in the last decade and contin...

Deepti Gupta, et al. ∙

research

∙ 07/30/2020

Learner's Dilemma: IoT Devices Training Strategies in Collaborative Deep Learning

With the growth of Internet of Things (IoT) and mo-bile edge computing, ...

Deepti Gupta, et al. ∙

research

∙ 01/15/2021

Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning

Utilities around the world are reported to invest a total of around 30 b...

Ibrahim Yilmaz, et al. ∙

research

∙ 03/28/2021

Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT

The exponential growth of Internet of Things (IoT) has become a transcen...

Deepti Gupta, et al. ∙

research

∙ 10/10/2021

Edge Centric Secure Data Sharing with Digital Twins in Smart Ecosystems

Internet of Things (IoT) is a rapidly growing industry currently being i...

Glen Cathey, et al. ∙

research

∙ 10/29/2021

Autoencoder-based Anomaly Detection in Smart Farming Ecosystem

The inclusion of Internet of Things (IoT) devices is growing rapidly in ...

Mary Adkisson, et al. ∙

research

∙ 11/24/2021

Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare

Internet of Medical Things (IoMT) is becoming ubiquitous with a prolifer...

Deepti Gupta, et al. ∙

research

∙ 12/21/2021

An Ontological Knowledge Representation for Smart Agriculture

In order to provide the agricultural industry with the infrastructure it...

Bikram Pratim Bhuyan, et al. ∙

research

∙ 01/06/2022

Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids

As cyber-attacks against critical infrastructure become more frequent, i...

Sina Sontowski, et al. ∙

research

∙ 04/10/2022

AABAC – Automated Attribute Based Access Control for Genomics Data

The COVID-19 crisis has demonstrated the potential of cutting-edge genom...

David Reddick, et al. ∙

research

∙ 05/18/2022

BlueSky: Activity Control: A Vision for "Active" Security Models for Smart Collaborative Systems

Cyber physical ecosystem connects different intelligent devices over het...

Tanjila Mawla, et al. ∙

research

∙ 06/15/2022

Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning

This paper proposes using communication pipelining to enhance the wirele...

Cihat Keçeci, et al. ∙

research

∙ 06/19/2022

Vehicle-to-Vehicle Charging Coordination over Information Centric Networking

Cities around the world are increasingly promoting electric vehicles (EV...

Robert Thompson, et al. ∙

research

∙ 08/09/2022

Online Malware Classification with System-Wide System Calls in Cloud IaaS

Accurately classifying malware in an environment allows the creation of ...

Phillip Brown, et al. ∙

Tennessee Tech University

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