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Cote, Danielle
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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
Multiscale Indentation Mechanics for Advanced and Heterogenous Metallurgical Materials Processing-Structure-Properties-Performance Relations
Keyword:
Cold Spray
,
Additive Manufacturing
,
Mechanics
,
Metallurgy
,
Nanoindentation
, and
Plastometry
Creator:
Sousa, Bryer
Advisor:
Cote, Danielle
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-05-01
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
UNiT: a universal toolkit for nanoindentation exploration
Keyword:
user interface
,
interdisciplinary
,
materials science
,
data science
,
nanoindentation
, and
computer science
Creator:
Krueger, Aaron
and
Schmid, Eric
Advisor:
Cote, Danielle
and
Neamtu, Rodica
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-03-02
Resource Type:
Major Qualifying Project
Nanomechanical Method Development for UNiT: Universal Nanoindentation Toolkit
Keyword:
Mechanical Engineering
,
Nanoindentation
,
Toolkit
,
Validation
,
Material Properties
, and
Materials Science
Creator:
Barron, Katelyn
Advisor:
Neamtu, Rodica
and
Cote, Danielle
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-03-02
Resource Type:
Major Qualifying Project
Cleaning On Demand with a Recommender System (CODeRS)
Keyword:
Data cleaning
,
Data science
,
Automation
,
Outlier detection
, and
Null values
Creator:
Schuliger, Ashley
and
Vieira, Christopher
Advisor:
Neamtu, Rodica
and
Cote, Danielle
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-03-02
Resource Type:
Major Qualifying Project
Biopsychosocial Validation of 3D Food Printing
Keyword:
Food Addative Manufacturing
,
Consumer rating study
,
Printing parameters
,
Mechanical strength
,
Young’s Modulus
, and
3D Food Printing
Creator:
Toala, Emily
and
Mateo, Leslie
Advisor:
Cote, Danielle
and
Rodriguez, Angela C Incollingo
Publisher:
Worcester Polytechnic Institute
Date Created:
2022-03-07
Resource Type:
Major Qualifying Project
Optimization of Coupled Computational Modeling and Experimentation for Metallic Systems: Systematic Microstructural Feature – Mechanical Property Correlation for Cold-Sprayable Powders
Keyword:
metallurgy
,
powder
,
heat treatment
,
cold spray
,
aluminum
, and
computational modeling
Creator:
Tsaknopoulos, Derek
Advisor:
Cote, Danielle
Publisher:
Worcester Polytechnic Institute
Date Created:
2019-04-23
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
Computational Thermodynamic and Kinetic Modeling and Characterization of Phase Transformations in Rapidly Solidified Aluminum Alloy Powders
Keyword:
computational modeling
,
microstructure
,
cold spray
,
aluminum
, and
powder
Creator:
Tsaknopoulos, Kyle Leigh
Advisor:
Cote, Danielle
Publisher:
Worcester Polytechnic Institute
Date Created:
2019-04-23
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
Application of Materials Characterization, Efficacy Testing, and Modelling Methods on Copper Cold Spray Coatings for Optimized Antimicrobial Properties
Keyword:
cold spray
,
antimicrobial coatings
, and
copper
Creator:
Sundberg, Kristin L.
Advisor:
Cote, Danielle
Publisher:
Worcester Polytechnic Institute
Date Created:
2019-04-22
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
Thermal Processing of Powder Aluminum Alloys for Additive Manufacturing Applications
Keyword:
Aluminum
,
powder
, and
Additive Manufacturing
Creator:
Walde, Caitlin
Advisor:
Cote, Danielle
Publisher:
Worcester Polytechnic Institute
Date Created:
2018-12-03
Resource Type:
Dissertation
Degree:
PhD
Unit (Department):
Materials Science & Engineering
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