Dissertations from 2023
Loss Scaling and Step Size in Deep Learning Optimizatio, Nora Alosily
eComVes: Enhancing ComVes using Data Piggybacking for Resource Discovery at the Network Edge, Sanzida Hoque
Dissertations from 2022
The Global Rise of Online Devices, Cyber Crime and Cyber Defense: Enhancing Ethical Actions, Counter Measures, Cyber Strategy, and Approaches, Naresh Kshetri
Eye-Tracking using Deep Learning, Sam Trenter
Theses from 2021
DISTFOLD: Distance-guided Protein Folding, Matthew Bernardini
Pranayama Breathing Detection with Deep Learning, Bikash Shrestha
Theses from 2020
New Methods for Deep Learning based Real-valued Inter-residue Distance Prediction, Jacob Barger
Translating Counting Problems into Computable Language Expressions, Zach Prescott
Theses from 2019
Protein Inter-Residue Distance Prediction Using Residual and Capsule Networks, Andrew Dillon
Enhancing Scalability in Genetic Programming With Adaptable Constraints, Type Constraints and Automatically Defined Functions, George Gerules
DEEPCON-PRE: Improved protein contact map prediction using inverse covariance and deep residual networks, Nachammai Palaniappan
Theses from 2018
A Parallelized Implementation of Cut-and-Solve and a Streamlined Mixed-Integer Linear Programming Model for Finding Genetic Patterns Optimally Associated with Complex Diseases, Michael Yip-Hin Chan
Efficient Reduced BIAS Genetic Algorithm for Generic Community Detection Objectives, Aditya Karnam Gururaj Rao
Theses from 2017
A Parallelized Method for Solving Large Scale Integer Linear Optimization Problems using Cut-and-Solve with Applications to cGWAS, John Brandenburg
Network Exploration of Correlated Multivariate Protein Data for Alzheimer's Disease Association, Matthew J. Lane
Theses from 2009
Adaptive Difference of Gaussian Algorithm for Coherent Line Drawing, Abadi Kurniawan
Theses from 2006
RISE: A ROBUST IMAGE SEARCH ENGINE, Debangshu Goswami