IEEE

A Multi-Task End-to-End Multivariate Long-Sequence Time Series Prediction Model for Load Forecasting

Abstract: With the increasing complexity of the power system, and the growing global demand for electricity, accurate and effective forecasting of electricity load, electricity prices, and related ...
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 ...

We identified DHL patterns using latent profile analysis. Gender-disaggregated multivariate probit models were constructed to estimate the relationship between DHL and awareness of and access to ...
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, ...