Tennessee Tech University

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

This paper develops a new deep neural network optimized equalization fra...
05/14/2019 ∙ by Lei Chu, et al. ∙ 4 ∙ share

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Practical Fast Gradient Sign Attack against Mammographic Image Classifier

Artificial intelligence (AI) has been a topic of major research for many...
01/27/2020 ∙ by Ibrahim Yilmaz, et al. ∙ 4 ∙ share

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Random Projection and Its Applications

Random Projection is a foundational research topic that connects a bunch...
10/09/2017 ∙ by Mahmoud Nabil, et al. ∙ 0 ∙ share

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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...
06/20/2017 ∙ by Lei Chu, et al. ∙ 0 ∙ share

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

Spectrum sensing is a fundamental problem in cognitive radio. We propose...
02/19/2012 ∙ by Feng Lin, et al. ∙ 0 ∙ share

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Spectrum Sensing for Cognitive Radio Using Kernel-Based Learning

Kernel method is a very powerful tool in machine learning. The trick of ...
05/15/2011 ∙ by Shujie Hou, et al. ∙ 0 ∙ share

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Reconstruction of Missing Big Sensor Data

With ubiquitous sensors continuously monitoring and collecting large amo...
05/03/2017 ∙ by Yongshuai Shao, et al. ∙ 0 ∙ share

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

In this paper, a data-driven Methodology is developed for the incipient ...
01/05/2018 ∙ by Xin Shi, et al. ∙ 0 ∙ share

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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 ...
02/10/2018 ∙ by Zenan Ling, et al. ∙ 0 ∙ share

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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...
07/02/2018 ∙ by Sheikh Rabiul Islam, et al. ∙ 0 ∙ share

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

With deployments of online monitoring systems in distribution networks, ...
08/27/2018 ∙ by Xin Shi, et al. ∙ 0 ∙ share

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Privacy-preserving mHealth Data Release with Pattern Consistency

Mobile healthcare system integrating wearable sensing and wireless commu...
09/12/2018 ∙ by Mohammad Hadian, et al. ∙ 0 ∙ share

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

Ride-sharing allows multiple persons to share their trips together in on...
09/19/2018 ∙ by Mahmoud Nabil, et al. ∙ 0 ∙ share

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

In Advanced Metering Infrastructure (AMI) networks, smart meters should ...
10/03/2018 ∙ by Ahmad Alsharif, et al. ∙ 0 ∙ share

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

Recently, multi-user multiple input multiple output (MU-MIMO) systems wi...
05/14/2019 ∙ by Lei Chu, et al. ∙ 0 ∙ share

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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 ...
05/27/2019 ∙ by Sheikh Rabiul Islam, et al. ∙ 0 ∙ share

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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...
06/21/2019 ∙ by Mohamed Baza, et al. ∙ 0 ∙ share

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Early Anomaly Detection in Power Systems Based on Random Matrix Theory

It is important for detecting the anomaly in power systems before it exp...
07/21/2019 ∙ by Xin Shi, et al. ∙ 0 ∙ share

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

Ride-hailing and ride-sharing applications have recently gained in popul...
10/01/2019 ∙ by Ryan Shivers, et al. ∙ 0 ∙ share

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Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response

Artificial Intelligence (AI) has become an integral part of modern-day s...
11/22/2019 ∙ by Sheikh Rabiul Islam, et al. ∙ 0 ∙ share

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Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS

Cloud Infrastructure as a Service (IaaS) is vulnerable to malware due to...
02/15/2020 ∙ by Andrew McDole, et al. ∙ 0 ∙ share

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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...
04/13/2020 ∙ by Maanak Gupta, et al. ∙ 0 ∙ share

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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...
05/28/2020 ∙ by Mohamed I. Ibrahem, et al. ∙ 0 ∙ share

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

The simultaneous charging of many electric vehicles (EVs) stresses the d...
05/28/2020 ∙ by Ahmed Shafee, et al. ∙ 0 ∙ share

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

Context: The 'as code' suffix in infrastructure as code (IaC) refers to ...
05/30/2020 ∙ by Akond Rahman, et al. ∙ 0 ∙ share

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An Exploratory Characterization of Bugs in COVID-19 Software Projects

Context: The dire consequences of the COVID-19 pandemic has influenced d...
05/31/2020 ∙ by Akond Rahman, et al. ∙ 0 ∙ share

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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...
06/27/2020 ∙ by Md. Shazibul Islam Shamim, et al. ∙ 0 ∙ share

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Future Smart Connected Communities to Fight COVID-19 Outbreak

Internet of Things (IoT) has grown rapidly in the last decade and contin...
07/20/2020 ∙ by Deepti Gupta, et al. ∙ 0 ∙ share

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

With the growth of Internet of Things (IoT) and mo-bile edge computing, ...
07/30/2020 ∙ by Deepti Gupta, et al. ∙ 0 ∙ share

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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...
01/15/2021 ∙ by Ibrahim Yilmaz, et al. ∙ 0 ∙ share

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

The exponential growth of Internet of Things (IoT) has become a transcen...
03/28/2021 ∙ by Deepti Gupta, et al. ∙ 0 ∙ share

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