Advances to Convolutional Neural Network Architectures for Prediction and Classification with Applications in the First Dimensional Space
Description:
In the vast field of signal processing, machine learning is rapidly expanding its domain into all realms. As a constituent of this expansion, this thesis presents contributive work on advancements in machine learning algorithms by building on the shoulder of giants. The first chapter of this thesis contains enhancements to a CNN (convolutional neural network) for better classification of heartbeat arrhythmia. The network goes through a two stage development, the first being augmentations to the…
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Date:
August 2022
Creator:
Kim, Hae Jin
Partner:
UNT Libraries