Abstract: Adversarial attacks craft adversarial examples (AEs) to fool convolution neural networks. The mainstream gradient-based attacks, based on first-order optimization methods, encounter ...

Abstract: In addressing the computational inefficiency arising from complex boundary conditions and multiscale features in large-scale electromagnetic analyses, an accelerated memory efficient ...

In Drexel University’s physics department, faculty and students work side-by-side to explore the span of universal phenomena – from biophysics to astrophysics and cosmology, all the way down to the ...

We may earn commission from links on this page, but we only recommend products we love. Promise. Have you ever caught yourself staring at flawless curls and wondering how they get that perfect ...

This review aims to provide a comprehensive evaluation of the dynamics of the double pendulum, with a particular emphasis on its chaotic behavior. It examines the complicated and unpredictable ...

This repository hosts instructional materials (Methods Tutorials) related to the neuroanalytics projects by Analytics Initiatives conducted via the Ontario Brain Institute's Centre for Analytics.

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...