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IEEE15d
Fuzzy Multivariate Variational Mode Decomposition With Applications in EEG Analysis
Abstract: This article introduces a novel extension of the multivariate variational mode decomposition (MVMD) method, termed fuzzy MVMD (FMVMD), designed to enhance alignment information extraction.
IEEE18d
An Elliptic Kernel Unsupervised Autoencoder -Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing
In the initial stage, endmember extraction and abundance map estimation are carried out using a convolutional autoencoder. An elliptical kernel is then applied to compute spectral distances and ...
Frontiers29d
Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition
Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...
C&EN29d
Transformation-Free Generation of a Quasi-Diabatic Representation from the State-Average Orbital-Optimized Variational Quantum Eigensolver
IT4Innovations, VSB─Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic ...