By 2050, construction's carbon footprint may double, jeopardizing climate targets. Transitioning to low-carbon materials is ...
The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
Abstract: Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
Abstract: Linear regression refers to the mathematical technique of fitting given data to a function of a certain type. It is best known for fitting straight lines. In this paper, we explain the ...