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Found 3 papers, 2 papers with code
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
Recently, there has been a growing interest in applying machine learning methods to problems in engineering mechanics.
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset
In general, diverse generated patterns with adequate resemblance to the real patterns can be used as inputs to finite element simulations to meaningfully augment the training dataset.
Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
The DFT coefficients corresponding to the angles within the noise-plus-interference region are used to reconstruct the noise-plus-interference covariance matrix (NPICM), while the desired signal covariance matrix (DSCM) is estimated by identifying and removing the noise-plus-interference component from the SCM.
