According to our database1, Alessandro Parente authored at least 5 papers between 2013 and 2020.
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PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds.
Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications.
Comput. Chem. Eng., 2019
Feature extraction and reduced-order modelling of nitrogen plasma models using principal component analysis.
Comput. Chem. Eng., 2018
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013