Search Results - "Jorgensen, Erik J."

Deep Learning Based THz Wireless Channel Property Prediction in Motherboard Desktop Environment by Fu, Jinbang, Jorgensen, Erik J., Juyal, Prateek, Zajic, Alenka

“…This paper proposes a residual network (ResNet) based feature concatenated neural network model to predict the type of scenario the channel is under and the…”
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Hyperspectral Image Recovery via Reliability-Weighted Compressed Sensing for Hardware Trojan Detection by Jorgensen, Erik J., Kacmarcik, Andrew, Prvulovic, Milos, Zajic, Alenka

“…Hyperspectral imaging is a popular style of image acquisition which captures a multitude of two-dimensional images at different frequencies to yield more…”
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Statistical Considerations for Analyzing Ecological Momentary Assessment Data by Oleson, Jacob J, Jones, Michelle A, Jorgensen, Erik J, Wu, Yu-Hsiang

“…Purpose: The analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The…”
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Effect of level on spectral-ripple detection threshold for listeners with normal hearing and hearing loss by Jorgensen, Erik J, McCreery, Ryan W, Kirby, Benjamin J, Brennan, Marc

“…This study investigated the effect of presentation level on spectral-ripple detection for listeners with and without sensorineural hearing loss (SNHL)…”
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GPS predicts stability of listening environment characteristics in one location over time among older hearing aid users by Jorgensen, Erik J., Stangl, Elizabeth, Chipara, Octav, Hernandez, Helin, Oleson, Jacob, Wu, Yu-Hsiang

“…Hearing aid technology can allow users to "geo-tag" hearing aid preferences using the Global Positioning System (GPS). This technology assumes that listening…”
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Novel Feature Selection for Non-destructive Detection of Hardware Trojans Using Hyperspectral Scanning by Jorgensen, Erik J., Kacmarcik, Andrew, Prvulovic, Milos, Zajić, Alenka

“…This paper introduces a novel method of non-destructively detecting incredibly elusive dormant hardware Trojans by selectively capturing hyperspectral…”
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Music Participation Among School-Aged Children Who Are Hard of Hearing by Jorgensen, Erik J, Walker, Elizabeth A

“…Purpose Music is an important part of life for many people. Furthermore, music training has been shown to improve a variety of cognitive functions among…”
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A Hierarchical Subsequence Clustering Method for Tracking Program States in Spectrograms by Jorgensen, Erik J., Werner, Frank T., Prvulovic, Milos, Zajic, Alenka

“…Electromagnetic (EM) side-channel radiation visualized with a spectrogram can be used to classify program states of a computer processor. However, clustering a…”
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Deep Learning Classification of Motherboard Components by Leveraging EM Side-Channel Signals by Jorgensen, Erik J., Werner, Frank T., Prvulovic, Milos, Zajić, Alenka

“…We show that a broad range of motherboard components can be classified based on their electromagnetic (EM) emanations using a lightweight convolutional neural…”
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Deep Learning Modeling of Power Delay Profile in Motherboard Desktop Environment by Fu, Jinbang, Juyal, Prateek, Jorgensen, Erik J., Zajic, Alenka

“…In this paper, we present a multilayer perceptron (MLP)-based THz channel model for line of sight propagation in a motherboard desktop environment. A six layer…”
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Effect of level on spectral-ripple detection threshold for listeners with normal hearing and hearing lossa by Jorgensen, Erik J., McCreery, Ryan W., Kirby, Benjamin J., Brennan, Marc

“…This study investigated the effect of presentation level on spectral-ripple detection for listeners with and without sensorineural hearing loss (SNHL)…”
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Comparison of Statistical and Deep Learning Path Loss Model for Motherboard Desktop Environment by Fu, Jinbang, Juyal, Prateek, Jorgensen, Erik J., Zajic, Alenka

“…In this paper, we characterized the path loss of the THz wireless channel in motherboard desktop environment and modeled it by both statistical (mixture…”
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