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Filtering by: Contributor Cote, Danielle Contributor Neamtu, Rodica Unit (Department) Data Science

A Comparative Study of Multiple-Instance Regression Techniques With Data Augmentation for Cold Spray Powder Hall Flow Rate Prediction

Keyword:

Cold Spray, Multiple-Instance Learning, Additive Manufacturing, Machine Learning, Data Augmentation, and Multiple-Instance Regression

Creator:

Schuliger, Ashley

Advisor:

Cote, Danielle and Neamtu, Rodica

Publisher:

Worcester Polytechnic Institute

Date Created:

2022-04-28

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science