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1. Physics-Informed-and-Hybrid-Machine-Learning-in-Additive-Manufacturing Physics-Informed-and-Hybrid-Machine-Learning-in-Additive-Manufacturing Public

   Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication

   Jupyter Notebook 16 3

2. Uncertainty-Quantification Uncertainty-Quantification Public

   This document is prepared based on the lectures and notes for the graduate level course- ‘Uncertainty Quantification’ (CE 6310) taught by Dr. Sankaran Mahadevan at Vanderbilt University. Course mat…

   MATLAB 6 1

3. Multi-Objective-Optimization-Under-Uncertainty-of-Part-Quality-in-Fused-Filament-Fabrication Multi-Objective-Optimization-Under-Uncertainty-of-Part-Quality-in-Fused-Filament-Fabrication Public

   Multi-objective optimization

   Jupyter Notebook 3 1

4. Bayesian-Neural-Network Bayesian-Neural-Network Public

   Bayesian Neural Network

   Jupyter Notebook 1

5. Information-fusion-and-machine-learning-for-sensitivity-analysis-using-physics-knowledge-and-experim Information-fusion-and-machine-learning-for-sensitivity-analysis-using-physics-knowledge-and-experim Public

   Highlights • Physics-informed machine learning is investigated for global sensitivity analysis. • Physics and test data are fused to maximize the accuracy of sensitivity estimates. • Uncertainties …

   Jupyter Notebook 1 1

6. kapusuzoglu.github.io kapusuzoglu.github.io Public

   my blog

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