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Live Perception and Real Time Motion Prediction with Deep Neural Networks and Machine Learning
(2021-11-08)
The research in this project explores the intersection of human computer interaction (HCI) and deep neural networks. Advances in real-time output has reduced latency making webcam skeletal model output useful for fine ...
AERO: A Neo-Darwinian Approach to Time-Energy Optimal Behavioral Robotics
(2023-04-28)
Multi-rotor Autonomous Aerial Vehicles (AAVs) have seen a rapid increase in availability and deployment. As such, these systems are on the cusp of demonstrating their full potential. However, despite such promise, AAV ...
Minimizing NUMA Effects on Machine Learning Workloads in Virtualized Environments
(2021-05-25)
This thesis is an investigation into the performance ramifications of making specialized component reservations for machine learning workloads in virtualized environments. The reliance of machine learning on floating-point ...
Predicting the Unpredictable: Comparing Statistical Forecasting and Deep Learning Models for Forecasting Emergency Department Arrivals
(2021-05-24)
The hospital emergency department must be continuously staffed and ready to care for patients. Staffing and demand could be more easily matched if hospitals were able to better predict surges in emergency department visits. ...
Image Classification with Evolved Convolutional Neural Networks
(2022-02-07)
Convolutional neural networks (CNNs) are a well-established technique for
image classification problems. While the topology of a CNN strongly affects the
performance of that CNN, designing a CNN’s topology remains a difficult ...
Blockchain-based Application for Insurance Claims Management
(2023-05-01)
Blockchain technology is a public ledger that offers transparency and trust due to “immutable” (unchangeable) and auditable data. The industry for blockchain-based insurance only first reached scale recently. The ability ...
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
(2022-02-07)
This thesis presents the first known end-to-end application to Hebrew language of Google’s state-of-the-art Transformer architecture for natural language processing (NLP). The state of the art in machine translation (MT) ...
Huey: Intelligent Agents for Natural Human to Machine Communication
(2021-05-25)
This thesis presents a novel architecture including two new programming languages, allowing software developers to create intelligent agents operating anywhere on the internet, independent of vendors' proprietary ecosystems ...
Cloud Quantum Computer Random Number Generation for Cryptography
(2022-05-12)
Creating a true random number generator is a difficult problem that may be solved by leveraging quantum computing. A simple quantum random number generation program involves applying the Hadamard gate to all qubits then ...
Disease2Vec: a method of determining disease from gut microbiome using neural embeddings
(2021-07-22)
Neural networks in the use of word representation has yielded useful
and efficient representations of complex natural language problems, proving
to be capable of disambiguating the semantic and syntactic relationships ...