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Theses/Project Reports from 2023

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A Study On API Security Pentesting, Hadi Asemi

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Constraint-Driven Open-World Scene Generation, Hunter Borlik

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Predicting Location and Training Effectiveness (PLATE), Erik Rolf Bruenner

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BRUNET: Disruption-Tolerant TCP And Decentralized Wi-Fi For Small Systems Of Vehicles, Nicholas Brunet

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Foundations Of Memory Capacity In Models Of Neural Cognition, Chandradeep Chowdhury

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Analysis and Usage of Natural Language Features in Success Prediction of Legislative Testimonies, Marine Cossoul

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Mobile Firewall System For Distributed Denial Of Service Defense In Internet Of Things Networks, Lorenzo B. Gardea

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PSF Sampling in Fluorescence Image Deconvolution, Eric A. Inman

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Modeling Daily Fantasy Basketball, Martin Jiang

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Balancing Privacy and Accuracy in IoT using Domain-Specific Features for Time Series Classification, Pranshul Lakhanpal

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Contextually Dynamic Quest Generation Using In-Session Player Information in MMORPG, Shangwei Lin

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Examining the Use of a Network Bypass to Circumvent Data Diodes Within Industrial Control Systems, Bryce Molesh

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Smartphone Based Object Detection for Shark Spotting, Darrick W. Oliver

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An Empirical Evaluation of Neural Process Meta-Learners for Financial Forecasting, Kevin G. Patel

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Neural Tabula Rasa: Foundations for Realistic Memories and Learning, Patrick R. Perrine

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Simple Open-Source Formal Verification of Industrial Programs, Christopher Disney Peterson

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A Novel Approach to Extending Music Using Latent Diffusion, Keon Roohparvar and Franz J. Kurfess

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MMF-DRL: Multimodal Fusion-Deep Reinforcement Learning Approach with Domain-Specific Features for Classifying Time Series Data, Asmita Sharma

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Exploration of Semi-supervised Learning for Convolutional Neural Networks, Nicholas Sheffler

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Decentralized Machine Learning On Blockchain: Developing A Federated Learning Based System, Nikhil Sridhar