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Explores Gaussian Mixture Models for data classification, focusing on denoising signals and estimating original data using likelihood and posteriori approaches.
Covers the visualization and post-processing of finite element outputs in Abaqus/CAE 6.14-1, including stress extrapolation, averaging, and 3D field visualization.
