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Now showing items 11-17 of 17
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 ...
Characterizing water-metal interfaces and machine learning potential energy surfaces
(2017-08-01)
In this thesis, we first discuss the fundamentals of ab initio electronic structure theory and density functional theory (DFT). We also discuss statistics related to computing thermodynamic averages of molecular dynamics ...
On deep learning in physics
(2021-04-01)
Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
(2021-07-01)
Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ...
An anomaly detection model utilizing attributes of low powered networks, IEEE 802.15.4e/TSCH and machine learning methods
(2019-12-01)
The rapid growth in sensors, low-power integrated circuits, and wireless communication standards has enabled a new generation of applications based on ultra-low powered wireless sensor networks. These are employed in many ...
Magic Pen: automatic pen-mode switching for document annotation
(2022-08-01)
Traditional digital pen interfaces use menu buttons to change pen modes, resulting in time and cognitive load spent on round-trips and potential errors from tapping small mode selection buttons. This thesis presents Magic ...
MAVIDS: an intelligent intrusion detection system for autonomous unmanned aerial vehicles
(2021-07-01)
Unmanned Aerial Vehicles (UAVs) face a large threat landscape, being used in numerous industries in hostile environments while relying on wireless communication. As attacks against UAVs increase, an intelligent Intrusion ...