Abstract: One advancing machine-learning-based analysis approach for multivariate time-series data is representing data as a third-order tensor and then applying dimensionality reduction (DR) methods.

Introduction: Immunosenescence is a dynamic process, where both genetic and environmental factors account for the substantial inter-individual variability. This paper integrates all the data on ...

Python and MATLAB are valuable for an electrical engineer's career, but the better choice depends on your field, industry, and career goals. Electrical engineers face many challenges: dealing with ...

The present study introduces a direct approach for classifying blood serum samples as either positive or negative for coronavirus disease (COVID-19) by associating the electrochemical impedance data ...

ABSTRACT: Identification of variables that influence differences between predicted and observed cycling times for one cyclist commuting to Okanagan College (OC) was performed using principal ...

1 Center for Signal Analysis of Complex Systems, Ansbach University of Applied Sciences, Ansbach, Germany 2 Institute of Mathematics, Julius-Maximilians-Universität, Würzburg, Germany A signal ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

Data analytics are constantly evolving and becoming ever more relevant in today's marketing. In my own experience helping companies across industries refine their digital marketing, I have seen how ...