Abstract: This paper presents a study on hierarchical surrogate-assisted evolutionary algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimization ...

ABSTRACT: We present the complete methodology to propose an efficient electrothermal model of the Silicon Carbide (SiC) Metal Oxide Semiconductor Field Effect Transistor (MOSFET), largely used in high ...

We'd love to hear your thoughts! Head over to Greg Philps' original post to share your comments and engage with the community. Deneb/Vega-Lite can be used to create regression analyses in Power BI.

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

In the realm of machine learning, regression algorithms are invaluable tools for predicting continuous numerical values. One of the most common applications of regression is in real estate, where ...

Bitumen, aggregate, and air void (VA) are the three primary ingredients of asphalt concrete 1. Insufficient VA leads to macro cracks from repetitive load stress 2, highlighting its importance in ...

In the subject of machine learning, it is essential to comprehend regression algorithms. Ten fundamental regression algorithms are introduced in this tutorial, which serves as the foundation for many ...

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Abstract: Device independent colour representation is a common operation in order to assure colour consistency throughout the colour measurement and reproduction pipeline, i.e., from input to output ...