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Theses/Project Reports from 2018

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Optimizing the Distributed Hydrology Soil Vegetation Model for Uncertainty Assessment with Serial, Multicore and Distributed Accelerations, Andrew Adriance

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Analyzing Global Cyber Attack Correlates Through an Open Database, Brady Benjamin Aiello

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Automated Pruning of Greenhouse Indeterminate Tomato Plants, Joey M. Angeja

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SoK: A Practical Cost Comparison Among Provable Data Possession Schemes, Alex Michael Bartlett

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An Empirical Study of CSS Code Smells in Web Frameworks, Tobias Paul Bleisch

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Predicting the Vote Using Legislative Speech, Aditya Budhwar

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Showing Programmers That They Already Know How to Write Well, Alanna Buss

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Leave the Features: Take the Cannoli, Jonathan Joseph Catanio

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Real-Time Object Removal in Augmented Reality, Tyler Dahl

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Polycommit: Building Better Habits Through Gamification, Elliot Fiske

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Software Requirements Classification Using Word Embeddings and Convolutional Neural Networks, Vivian Lin Fong

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Tessellated Voxelization for Global Illumination Using Voxel Cone Tracing, Sam Thomas Freed

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Using Gaze Tracking to Tackle Duplicate Questions on Community Based Question Answering Websites: A Case Study of Ifixit, Pankti Gandhi

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Strategic Selection of Training Data for Domain-Specific Speech Recognition, Daniel Girerd

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Influencing Exploration in Actor-Critic Reinforcement Learning Algorithms, Andrew R. Gough

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Amplifying the Prediction of Team Performance Through Swarm Intelligence and Machine Learning, Erick Michael Harris

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Population Curation in Swarms: Predicting Top Performers, Ryan W. Heller

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Integrated Computer Science Unit for Early Exposure to a Diverse Population, Di Hoang

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CLEAVER: Classification of Everyday Activities via Ensemble Recognizers, Samantha Hsu

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Bird Abundance at Bird Feeders in Response to Temperature, Wind Speed and Precipitation During the Winter Season, Siddhant Kahal

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N-SLOPE: A One-Class Classification Ensemble for Nuclear Forensics, Justin Kehl

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A Comparative Study of Feature Detection Methods for AUV Localization, Andrew Y. Kim

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Enhancements to the Microbial Source Tracking Process Through the Utilization of Clustering and K-nearest Clusters Algorithm, Tram B. Lai