Conclusions: The unifying Co-Develop-IT guideline provides comprehensive best practices with actionable operational guidance for establishing an appropriate balance between scientific theories and ...

Abstract: Machine learning (ML) based classifiers that take a privacy policy as the input and predict relevant concepts are useful in different applications such as (semi-)automated compliance ...

This project implements a simplified banking system using Python object-oriented programming (OOP) principles, with a focus on modular design, class hierarchies, and UML modeling. The system models ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of complex data ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...