Abstract: This paper introduces a novel system for automated optimization of chiral separation processes using Multivariate Process Analytical Technology (mPAT) data and Reinforcement Learning (RL).

Abstract: This letter addresses a multivariate optimization problem for linear movable antenna arrays (MAAs). Particularly, the position and beamforming vectors of the under-investigated MAA are ...

Abstract: Process based management frameworks often indicate which activities need to be done, but not indicate how to share focus between different parallel activities. In other words, how much to ...

Problem definition: Assortment selection is one of the most important decisions faced by retailers. Most existing papers in the literature assume that customers select at most one item out of the ...

Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...