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 ...
IEEE

Multivariate Fusion Covariance Matrix Network and Its Application in Multichannel Fault Diagnosis With Fewer Training Samples

Abstract: Due to the large number of monitoring variables in engineering, it is extremely to reflect fault information in machinery and equipment with a single channel signal, which poses a ...
IEEE

Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study

Abstract: Multivariate time series forecasting has wide applications such as traffic flow prediction, supermarket commodity demand forecasting and etc., and a large number of forecasting models have ...