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Difference between revisions of "AI-Assisted Quality Control of CTD Data"
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== Machine Learning Pipeline == | == Machine Learning Pipeline == | ||
| − | [[File:Ml pipeline.png | + | [[File:Ml pipeline.png|Three-step process used in the machine learning pipeline.]] |
== Experimental Model Performance == | == Experimental Model Performance == | ||
| − | [[File:Performance.png | + | [[File:Performance.png|Model performance and dataset histogram over the depth range from which CTD scans are collected.]] |
== Model Deployment and Integration == | == Model Deployment and Integration == | ||
| − | [[File:Model communications.png | + | [[File:Model communications.png|Information flow in the integration of the model deployment into the business process.]] |
== Next Steps == | == Next Steps == | ||
Revision as of 16:34, 16 December 2022
Use Case Objectives
Machine Learning Pipeline
Experimental Model Performance
Model Deployment and Integration
