MicroCloud Hologram Inc. Strong Designated Verifier Signature Protocol Based on High-Order Multivariate Algebraic Equations

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, is committed to post-quantum cryptography innovation and has announced a forward-looking ...
IEEE

Multivariate Fractal Autoencoder (MFAE): Sparse Sensor Placement via Cross-Variable Synergy for Ocean Data Reconstruction

Abstract: Optimizing sensor placement is crucial for enhancing the coverage and data-acquisition efficiency of ocean monitoring systems. Traditional approaches primarily rely on univariate ocean data ...
SciELO

MultivariateAnalysis: an R package for multivariate analysis

Statistical analysis is essential in research. As modern production processes evolve, the increasing volume of data needing processing has demanded techniques like multivariate analysis for ...
GitHub

Multivariate analysis of ordinal data with missing values and latent variables

Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...
Frontiers

fastMETA: a fast and efficient tool for multivariate meta-analysis of GWAS

Genome-Wide Association Studies (GWAS) have transformed human genetics by identifying thousands of loci associated with complex traits and diseases. Yet, individual GWAS are often underpowered, and ...
Scientific Research Publishing

Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...
chromatographyonline

Multivariate Design of Experiments for Gas Chromatographic Analysis

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...