Principal Component Analysis

• PARAS: High-Accuracy Machine Learning of Substrate Specificities in Nonribosomal Peptide Synthetases

  2026 JACS Au article Medicine Microbial Natural Products and Biosynthesis Open access

  34

  citations
• Efficient Modeling of Digital Shadows for Production Processes: A Case Study for Quality Prediction in High Pressure Die Casting Processes

  2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Engineering Digital Transformation in Industry

  10

  citations
• Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements

  2020 Applied Mathematics and Computation article Engineering Sparse and Compressive Sensing Techniques Open access

  5

  citations
• Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis

  2020 Advances in intelligent systems and computing conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

  2

  citations
• Analysis of Turbulent Reacting Jets via Principal Component Analysis

  2020 Springer eBooks book-chapter Physics and Astronomy Model Reduction and Neural Networks

  7

  citations

5 results