The development of deep learning technology has brought great improvements to the field
of time series forecasting. Short sequence time-series forecasting no longer satisfies the …

In recent years, multivariate time-series classification (MTSC) has attracted considerable
attention owing to the advancement of sensing technology. Existing deep-learning-based …

The probability prediction of multivariate time series is a notoriously challenging but practical
task. On the one hand, the challenge is how to effectively capture the cross-series …

Multivariate time series forecasting, which analyzes historical time series to predict future
trends, can effectively help decision-making. Complex relations among variables in MTS …

Multivariate Time Series (MTS) forecasting is an essential problem in many fields. Accurate
forecasting results can effectively help in making decisions. To date, many MTS forecasting …

Accurately modeling and predicting multivariate time series (MTS) are crucial in real-world
scenarios, where precise predictions aid decision-making. MTS exhibit complex variable …

Shellfish production has been growing in recent years, having a high impact in several
Portuguese coastal regions. However, this resource can be contaminated by marine …