ABSTRACT: Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which ...
Partial least squares regression is a powerful method for analyzing complex relationships among multiple variables, particularly in high-dimensional data sets. You can apply it to a variety of fields, ...
Laboratory for Computational Molecular Design, Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland Laboratory of Catalysis and ...
This paper explores the capabilities of logistic regression and multilinear regression in predicting outcomes for binary data and multi-class data respectively. The logistic regression model is used ...
Ten able-bodied subjects and a transradial amputee were recruited. sEMG signals were recorded from six forearm muscles on the dominant side of each able-bodied subject and the stump of amputee.
Over the last decade, hemodynamic monitoring has risen to the forefront of efficient and sustainable healthcare. Monitoring of biomarkers for vascular and cardiac function is a crucial factor in ...
Sales forecasting is very important to determine the inventory any business should keep. This article discusses a popular data set of the sales of video games to help analyse and predict sales ...
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