GitHub

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

In this repository, we present the code of "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting". conda create -n cmamba ...
Journal of Medical Internet Research

Digital Health Literacy and Its Role in Awareness of and Access to Sexual Health Products and Services Among Displaced Youth in Uganda’s Informal Urban Settlements: Community ...

Gender-disaggregated multivariate probit models were constructed to estimate the relationship between DHL and awareness of and access to sexual health products and services (eg, sexual and ...
IEEE

ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment

Anomaly detection in multivariate time series has emerged as a critical challenge in the time series research community with significant application potentials in various scenarios, ranging from fault ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
IEEE

Quaternion Dendritic Neuron Model for Multivariate Financial Time Series Prediction

Abstract: In prediction tasks, the single dendritic neuron models (DNMs) have achieved good results due to their inherent biological dendrite-like nonlinear calculation capabilities. Meanwhile, ...