Matteo Diez

A Nonlinear Extension of Parametric Model Embedding for Dimensionality Reduction in Parametric Shape Design

ABSTRACT Dimensionality reduction is essential in simulation‐based shape design, where high‐dimensional parameterizations hinder optimization, surrogate modeling, and systematic design‐space exploration. Parametric Model Embedding (PME) addresses this issue by constructing reduce...

Multi-Channel Neighborhood-Constrained Variational Mode Decomposition

In many multi-channel engineering problems, the information relevant to the task is concentrated in one channel, while the other information plays an auxiliary role. In forecasting, the quantity to be predicted is the primary source of information and the covariates support it; i...