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

Stichwort:

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

Schöpfer:

Schuliger, Ashley

Advisor:

Cote, Danielle and Neamtu, Rodica

Herausgeber:

Worcester Polytechnic Institute

Datum erstellt:

2022-04-28

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Data Science
Cleaning On Demand with a Recommender System (CODeRS)

Stichwort:

Data cleaning, Data science, Automation, Outlier detection, and Null values

Schöpfer:

Schuliger, Ashley and Vieira, Christopher

Advisor:

Neamtu, Rodica and Cote, Danielle

Herausgeber:

Worcester Polytechnic Institute

Datum erstellt:

2022-03-02

Resource Type:

Major Qualifying Project