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Neamtu, Rodica
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Cote, Danielle
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Data-Driven Optimization of Wire Arc Directed Energy Deposition Manufacturing Conditions for Improved Bead Shape Prediction
Palavra-chave:
Design of Experiemnt
,
Feature Engineering
,
Regression
,
Predictive Modeling
,
Machine Learning
, and
Wire Arc DED
O Criador:
Price, Stephen
Advisor:
Cote, Danielle
and
Neamtu, Rodica
Editor:
Worcester Polytechnic Institute
Data Criada:
2023-12-12
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Computer Science
A Comparative Study of Multiple-Instance Regression Techniques With Data Augmentation for Cold Spray Powder Hall Flow Rate Prediction
Palavra-chave:
Cold Spray
,
Multiple-Instance Learning
,
Additive Manufacturing
,
Machine Learning
,
Data Augmentation
, and
Multiple-Instance Regression
O Criador:
Schuliger, Ashley
Advisor:
Cote, Danielle
and
Neamtu, Rodica
Editor:
Worcester Polytechnic Institute
Data Criada:
2022-04-28
Resource Type:
Thesis
Degree:
MS
Unit (Department):
Data Science
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O Criador
Price, Stephen
1
Schuliger, Ashley
1
Advisor
Cote, Danielle
2
Neamtu, Rodica
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2
Contributor
Beck, Joseph
1
Cote, Danielle
[remove]
2
Neamtu, Rodica
2
Rundensteiner, Elke A.
1
Zou, Frank
1
Unit (Department)
Computer Science
1
Data Science
1
Editor
Worcester Polytechnic Institute
2
Tipo de recurso
Thesis
2
License
https://creativecommons.org/licenses/by-nc/4.0/
1