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Publications by Chamila C. De Silva
Principal Component Analysis (PCA) as a Statistical Tool for Identifying Key Indicators of Nuclear Power Plant Cable Insulation Degradation
Minerals, Metals and Materials Series
Mechanics of Materials
Alloys
Energy Engineering
Materials Chemistry
Metals
Optical
Magnetic Materials
Power Technology
Electronic
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Figure 24: Principal Component Analysis (PCA) of Psilochilus Taxa.
Statistical Properties of Kernel Principal Component Analysis
Machine Learning
Artificial Intelligence
Software
Figure S2: Principal Component Analysis (PCA) of Expression Data for All Transcripts
Figure 3: Environmental Niche of Disa Bracteata as Visualized by Principal Component Analysis (PCA).
Supplemental Information 3: Principal Component Analysis (PCA) Biplot of Behavioral Data.
A Novel Principal Component Analysis Method for Identifying Differentially Expressed Gene Signatures
Identifying Prognostic Indicators for Electrical Treeing in Solid Insulation Through PD Analysis
Principal Component Analysis (PCA) on Multivariate Data of Lard Analysis in Cooking Oil
Journal of Mathematics and System Science
Face Recognition Using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) Techniques
IJARCCE
