News

AZoLifeSciences on MSN2d
AI for Decoding Gene Expression and Cellular Behavior
AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...
IEEE14d
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.
IEEE17d
An Elliptic Kernel Unsupervised Autoencoder -Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing
This article introduces the Autoencoder Graph Ensemble Model (AEGEM), a novel ensemble-based framework designed to enhance performance in both endmember extraction and abundance estimation. In the ...
GitHub25d
variational-autoencoder
This repository contains numerous applications of autoencoder neural networks. Projects include image denoising, detection of infected cells, and processing of the MNIST dataset. Each application ...
Frontiers28d
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&EN28d
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 ...