A machine learning framework, equipped with a unitary Koopman structure, is designed to reconstruct Hamiltonian systems using either noise-perturbed or partially observational data. This framework can ...

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 ...

Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.

A study reported that the conventional method of searching follicular fluid didn’t find all the eggs. The new technology found extra eggs more than half the time. A viable egg found by the OvaReady ...

Abstract: Code smells are poorly designed parts of code whose removal is essential for sustainable software development. However, recognizing code smells in practice is challenging. Machine Learning ...