Theses/Dissertations from 2023
Dea2uth: A Decentralized Authentication and Authorization Scheme for Secure Private Data Transfer, Phillipe Austria
Information-Theoretic Model Diagnostics (InfoMoD), Armin Esmaeilzadeh
Algorithmic Approaches to Battery Consolidation in a Smart Grid, Dara Nyknahad
High Clearance Collision-Free Paths, Barun Thapa
Theses/Dissertations from 2022
Jiapi: A Type Checker Generator for Statically Typed Languages, Benjamin Cisneros Merino
Hyperspectral Image Analysis of Food for Nutritional Intake, Shirin Nasr Esfahani
Real–Time Semantic Segmentation for Railway Anomalies Analysis, Paul Stanik Iii
An Empirical Investigation into the Impact of Automated Grading, Alex James St. Aubin
Reachability and Turn Constraint Paths, Sabrina Wallace
Theses/Dissertations from 2021
From Language Comprehension Towards General AI, Binay Dahal
Comparing a New Algorithm for the Traveling Salesman Problem to Previous Deterministic and Stochastic Algorithms, Edward Friesema
An Introduction to Federated Learning and Its Analysis, Manjari Ganapathy
Effect of Boundary Approximation on Visibility, Samridhi Jha
Calculating the Learning Rate of a Neural Network using a Genetic Algorithm, Eric Miller
Exploring the Latent Space of Image Captioning Networks, Mikian J. Musser
Machine Learning Analysis of Single Nucleotide Polymorphism (SNP) Data to Predict Bone Mineral Density in African American Women, Erick Githua Wakayu
Theses/Dissertations from 2020
An Investigation into Multi-View Error Correcting Output Code Classifiers Applied to Organ Tissue Classification, Daniel Alvarez
Analysis of Blockchain-Based Storage Systems, Phillipe Austria
A Framework for Vector-Weighted Deep Neural Networks, Carter Chiu
Machine Learning for Prediction of Trabecular and Cortical Bone Mineral Density, Partha Chudal
Toward Productivity Improvements in Programming Languages Through Behavioral Analytics, Patrick Daleiden
A Machine Learning Approach to Predict Retention of Computer Science Students at University of Nevada, Las Vegas, Sudhir Deshmukh
A Divide and Conquer with Semi-Global Failover for Software Defined Networks, Kasra Goravanchi
Machine Learning Approach for Predicting Cancer Using Gene Expression, Aashi Maharjan
Studies on Kernels of Simple Polygons, Jason Mark