Abstract: Accurate real-time prediction of key quality variables is critical for complex industrial processes like hydrocracking, where data exhibits multivariate nonlinearity, time delays, and ...

Abstract: Increasing uncertainty and variability of distributed energy resources can have a significant impact on economic operations and market transactions in local energy communities (LECs). This ...

This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...

This solution accelerator demonstrates how industrial enterprises, energy companies, logistics companies and companies in other industries can leverage Microsoft Fabric to monitor and maintain ...

This repository contains comprehensive materials for a five-session advanced training workshop integrating spatial sampling theory, biostatistical diagnostics, climate (BioClim) analysis, multivariate ...