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Cut-and-Shuffle Mixing On a Hemispherical Shell and a Line Segment

Description:

Mixing by cutting-and-shuffling (like that for a deck of cards or a Rubik's cube) is a paradigm that has not been studied in detail even though it can be applied in a variety of situations including the mixing of granular materials. Mathematically, cutting- and-shuffling is described by piecewise isometries (PWIs),...

Keyword:

granular materials, mixing, machine learning, piecewise isometries, cutting-and-shuffling, and interval exchange transforms

Subject:

Applied mathematics, Chemical engineering, and Mechanical engineering

Creator:

Lynn, Thomas Ferguson

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_881325 and http://dissertations.umi.com/northwestern:15951
Recurrent Neural Network Architectures for Sequence Classification and Explanation

Description:

This thesis focuses on applications of recurrent neural networks (RNNs) for three aspects of sequential classification. In the first chapter, a novel method to generate synthetic minority data generation to improve imbalanced classification is discussed. Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic...

Keyword:

Explainability, Recurrent Neural Networks, and Machine Learning

Subject:

Applied mathematics

Creator:

Ger, Stephanie Kwang-Yu

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15394 and etdadmin_upload_780385

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