scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...
Abstract: Kalman filters (KFs) are affected by outliers and inaccurate measurement noise covariance matrices (MNCMs). However, a robust adaptive filter cannot rapidly track sudden changes in the ...
Abstract: This letter presents a 2D extension of the successive variational mode decomposition (2D-SVMD) method, which decomposes 2D signals into band-limited intrinsic mode functions without ...
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