Abstract: This paper presents an improved binary gray wolf optimization algorithm for the pattern synthesis of thinning uniformly linear arrays, aimed at lower peak side lobe level and reducing the ...

Abstract: Addressing the issues of strong parameter sensitivity, high risk of premature convergence, and low computational efficiency for high-dimensional data in existing binary optimization ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

What if you could build a fully functional financial model in minutes, without spending hours wrestling with formulas, cleaning messy data, or manually updating projections? With the introduction of ...