Browsing Electronic Theses and Dissertations by Subject "Neural networks"
Now showing items 1-8 of 8
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Characterizing the potential energy surface of two dimensional and bulk materials using high dimensional neural network potentials
(2018-08-01)Computing material properties at the ab-initio level of detail is computationally prohibitive for large systems or long timescales. As a result, such methods cannot be used to efficiently sample configuration space. Force ... -
Cluster techniques and prediction models for a digital media learning environment
(2012-08-01)The present work applies well-known data mining techniques in a digital learning media environment in order to identify groups of students based on their pro le. We generate identi able clusters where some interesting ... -
Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents
(2021-04-01)Driven by recent technological advancements within the artificial intelligence domain, deep learning has emerged as a promising representation learning technique. This in turn has given rise to the evolution of deep ... -
Effective modeling of advanced filters and multiplexing networks
(2019-06-01)Microwave filters and multiplexers are widely used in all types of electronic systems. This research focuses on advanced filters and multiplexers for applications in communication satellites with stringent requirements and ... -
Health and safety enhancement of lithium-ion batteries for fast-charging
(2021-08-01)With the ever-increasing demand for battery electric vehicles, the expectation of safety, range, and fast charging has become a major focus for industry players and researchers. The research presented herein sought to ... -
A modular approach to image matting
(2022-11-01)Image matting is the art of creating an accurate alpha matte for the purpose of foreground separation in an image or video. Although there have been many methods which only require an input image, the best-performing image ... -
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
(2022-08-01)As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ... -
Using machine learning methods to aid scientists in laboratory environments
(2019-12-01)As machine learning gains popularity as a scientific instrument, we look to create methods to implement it as a laboratory tool for researchers. In the first of two projects, we discuss creating a real-time interference ...