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Documents from 2023

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A Survey of Qubit Routing Algorithms, Harrison Barnes

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Memory Protection with Cached Authentication Trees, Andy Belle-Isle

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Applying Homomorphic Encryption to a Cross Domain Problem, Cheyenne Dailey

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Quantum Acceleration of Linear Regression for Artificial Neural Networks, Martin A. Hoffnagle

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An Analysis of Heterogeneous Quantization Schemes for Neural Networks, Anusha Holavanahali

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System Integration of CSTARS: Cryogenic Star Tracking Attitude Regulation System, Matthew Klein

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FSMLock: Sequential Logic Locking through Encryption, Matthew Krebs

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Design of a Current Mode Circuit for Zeroth-Order Optimization of Memristor-Based Neuromorphic Systems, Shery George Mathews

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Continual Domain Adaptation through Knowledge Distillation, Georgi Thomas

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An Examination of the Effects of the Cost Volume on Vision Transformer-Based Optical Flow Models, Andrew Thompson

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Improved Grover’s Implementation of Quantum Binary Neural Networks, Brody A. Wrighter

Documents from 2022

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DeepRM: Deep Recurrent Matching for 6D Pose Refinement, Alexander Avery

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High Error Rate Qubit Routing, Sean Bonaventure

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Implementation and Evaluation of Deep Neural Networks in Commercially Available Processing in Memory Hardware, Prangon Das

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Side-Channel Attacks and Countermeasures for the MK-3 Authenticated Encryption Scheme, Peter Fabinski

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Speech Feature Analysis and Discrimination in Biological Information, Shogo Honda

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Development of a Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks, Jacob Kiggins

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Impact of Noise in Automatic Speech Recognition for Low-Resourced Languages, Vigneshwar Lakshminarayanan

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Quantum Solutions for Training a Single Layer Binary Neural Network, Sabrina Ly

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Semi-Supervised Video and Image in-painting, Rajiv Mandya Nagaraju

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InfoMixup : An Intuitive and Information-Driven Approach to Robust Generalization, Andrew H. Meyer

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Address Obfuscation to Protect Against Hardware Trojans in Network-on-Chips, Thomas Mountford

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Single-Input Signature Register-Based Time Delay Reservoir, David Pastuch

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Towards Real-Time Classification of Human Imagined Language, Joseph Zonghi

Documents from 2021

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The Application of Echo State Networks to Atypical Speech Recognition, Daniel W. Adams

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Neural Network Models for TCP - SYN Flood Denial of Service Attack Detection With Source and Destination Anonymization, Sahil Anande

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A Programmable Processing-in-Memory Architecture for Memory Intensive Applications, Mark Connolly

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Securing in-memory processors against Row Hammering Attacks, Sahil K. Gogna

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HandyPose and VehiPose: Pose Estimation of Flexible and Rigid Objects, Divyansh Gupta

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A Comparison of Quantum Algorithms for the Maximum Clique Problem, Andrew R. Haverly

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Model Extraction and Adversarial Attacks on Neural Networks Using Side-Channel Information, Tommy Li

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Semantic Segmentation and Change Detection in Satellite Imagery, Raaga Madappa

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Flexible Memory Protection with Dynamic Authentication Trees, Matthew T. Millar

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Automatic Speech Recognition for Low-Resource and Morphologically Complex Languages, Ethan Morris

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Anchor Self-Calibrating Schemes for UWB based Indoor Localization, Jonathan Pereira

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Measuring Shadows: FPGA-based image sensor control systems for next-generation NASA missions, Irfan Rafi Punekar

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Continuous Variable Quantum Compilation Analysis, Federico Rueda

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GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features With Spatial and Channel Attention, Udit Sharma

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3D Object Detection Via 2D LiDAR Corrected Pseudo LiDAR Point Clouds, Saurabh Mahendra Sonje

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Evaluating Performance and Efficiency of a 16-bit Substitution Box on an FPGA, Daniel F. Stafford

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Monocular 3D Object Detection via Ego View-to-Bird’s Eye View Translation, Atharva Arun Tembe

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Real-Time UAV Pose Estimation and Tracking Using FPGA Accelerated April Tag, Ethan Tola

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Impact of Image Complexity on Early Exit Neural Networks for Edge Applications, Sharan Vidash Vidya Shanmugham

Documents from 2020

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Self-Supervision Initialization for Semantic Segmentation Networks, Kenneth Alexopoulos

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Multi-Sensor Fusion for 3D Object Detection, Darshan Ramesh Bhanushali

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Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band, Dennis P. Bleier

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Hardware Intellectual Property Protection Through Obfuscation Methods, Jason Blocklove

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Employing optical flow on convolutional recurrent structures for deepfake detection, Akash Chintha

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Convex Object Detection, Abhisek Dey

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High-Capacity Directional Graph Networks, Miguel Dominguez

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Exploring the Influence of Energy Constraints on Liquid State Machines, Andrew Fountain

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Network Slicing for Wireless Networks Operating in a Shared Spectrum Environment, John Jenco

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Point Completion Networks and Segmentation of 3D Mesh, Naga Durga Harish Kanamarlapudi

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Self-Supervised Learning for Segmentation using Image Reconstruction, Srivallabha Karnam

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Graph Networks for Multi-Label Image Recognition, Sidharth Makhija

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A Study on DNA Memory Encoding Architecture, Robert W. Mason

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Tree-Based Hardware Recursion for Divide-and-Conquer Algorithms, Braeden Morrison

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Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction, Sai Shashidhar Nagabandi

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Fine-Tuning Sign Language Translation Systems Through Deep Reinforcement Learning, Joseph Panaro

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Improving Omnidirectional Camera-Based Robot Localization Through Self-Supervised Learning, Robert Relyea

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Deepfakes Generation using LSTM based Generative Adversarial Networks, Akhil Santha

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Cross-modal data retrieval and generation using deep neural networks, Premkumar Udaiyar

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Using Classification for Analysis of Multi-Modal Video Summarization, Brendan Wells

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Energy Efficient Neocortex-Inspired Systems with On-Device Learning, Abdullah M. Zyarah

Documents from 2019

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A Novel Processing-In-Memory Architecture for Dense and Sparse Matrix Multiplications, Andrew Robert Bear

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Aerial Object Detection using Learnable Bounding Boxes, Aneesh Bhat

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LambdaNet: A Novel Architecture for Unstructured Change Detection, Bryan Matthew Blakeslee

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Towards Lightweight AI: Leveraging Stochasticity, Quantization, and Tensorization for Forecasting, Zachariah JL Carmichael

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Exploring HLS Coding Techniques to Achieve Desired Turbo Decoder Architectures, Thomas Cenova

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End-to-End Music Transcription Using Fine-Tuned Variable-Q Filterbanks, Frank C. Cwitkowitz Jr

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Exploring Neuromodulatory Systems for Dynamic Learning, Anurag Daram

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Vector Spaces for Multiple Modal Embeddings, Sabarish Gopalakrishnan

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Exploration of GPU Cache Architectures Targeting Machine Learning Applications, Gerald Kotas

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Design of an Efficient Design for Test (DFT) Architecture and it's Verification Using Universal Verification Methodology, Sushmitha Mavuram

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Design of a Flexible Schoenhage-Strassen FFT Polynomial Multiplier with High-Level Synthesis, Kevin Millar

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Poly-GAN: A Multi-Conditioned GAN for Multiple Tasks, Nilesh Pandey

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Relational Neurogenesis for Lifelong Learning Agents, Tej Pandit

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Joint Source-Channel Coding for Image Transmission over Underlay Multichannel Cognitive Radio Networks, Long Pham

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Exploring the Effectiveness of Privacy Preserving Classification in Convolutional Neural Networks, Prathibha Rama

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Improving Automatic Speech Recognition on Endangered Languages, Kruthika Prasanna Simha

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Using Reduced Graphs for Efficient HLS Scheduling, Stephanie Soldavini

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Synthesizing Cyber Intrusion Alerts using Generative Adversarial Networks, Christopher R. Sweet

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Performance Analysis of Fixed-Random Weights in Artificial Neural Networks, Humza Syed

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Deepfake detection and low-resource language speech recognition using deep learning, Bao Thai

Documents from 2018

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Contractive Autoencoding for Hierarchical Temporal Memory and Sparse Distributed Representation Binding, Luke G. Boudreau

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Cross Layer Routing in Cognitive Radio Network Using Deep Reinforcement Learning, Snehal Sudhir Chitnavis

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Exploring High Level Synthesis to Improve the Design of Turbo Code Error Correction in a Software Defined Radio Context, Bradley E. Conn

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Meta Learning for Graph Neural Networks, Rohan N. Dhamdhere

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Holographic Generative Memory: Neurally Inspired One-Shot Learning with Memory Augmented Neural Networks, Dillon R. Graham

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Adjustment of Parametric Dynamic Scheduling Heuristics for Heterogeneous Systems to Account for Heterogeneity, Thomas G. Guerin

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Design Considerations for Training Memristor Crossbars Used in Spiking Neural Networks, Lydia M. Hays

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Detection of Autism using Magnetic Resonance Imaging data and Graph Convolutional Neural Networks, Saloni Mahendra Jain

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Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation, Ram Longman

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Cache Memory Access Patterns in the GPU Architecture, Yash Nimkar

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Multi-modal learning using deep neural networks, Dheeraj Kumar Peri

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Resiliency in Deep Convolutional Neural Networks, Faiz Ur Rahman

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Automatic Modulation Classification Using Cyclic Features via Compressed Sensing, Andrew J. Ramsey

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Exploring the Application of Homomorphic Encryption for a Cross Domain Solution, Cody W. Tinker

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Graph-based Performance Estimation on Customized MIPS Processors, Saaim Valiani

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Visualizing Resiliency Of Deep Convolutional Network Interpretations For Aerial Imagery, Bhavan Kumar Vasu