Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
IEEE

Test Point Selection for Multi-Cycle Logic BIST using Multivariate Temporal-Spatial GCNs

This paper proposes a novel Test Point Insertion (TPI) strategy to enhance the testability for multi-cycle Built-In Self-Test (BIST) for logic circuits. The approach leverages Multivariate ...
IEEE

Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance

Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...