Hi, I’m Juan Diego Toscano. Thanks for stopping by. This repository will help you to get involved in the physics-informed machine learning world. Inside the Tutorials folders, you will find several ...

is a nonlinear and invertible transformation for non-negative d-dimensional signals that guarantees certain linear separation theorems. The transformation builds on top of the Cumulative Distribution ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: To approximate the Pareto front, most existing multiobjective evolutionary algorithms store the nondominated solutions found so far in the population or in an external archive during the ...

Abstract: Plasmonic metasurfaces have shown great potential to manipulate the electromagnetic fields within the subwavelength scale. Nanoslits are one type of the commonly used building blocks of ...