Multivariate time series data are invasive in different domains, ranging from data center supervision and e-commerce data to financial transactions. This kind of data presents an important challenge ...

This article investigates the problem of modeling regression with labeled and unlabeled data samples commonly found in industrial processes. By incorporating additional information on unlabeled data ...

We successfully applied a multiple linear regression model to optimize the factors of oxidation duration, sonication time, and sonication power for producing desirable single-walled carbon nanotube ...