Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables computers to learn automatically from data — without being explicitly programmed. How It Works (Basic Steps) Collect Data ...

Abstract: In order to improve the recognition accuracy of coating corrosion in salt field photovoltaic power generation equipment, a lightweight improved U2 Net small sample recognition algorithm for ...

Abstract: As a promising contender within non-orthogonal multiple access (NOMA), sparse code multiple access (SCMA) stands out as a potential cornerstone in future-generation wireless communication ...

A sample algorithm of Verlet Integration, a physics simulation algorithm that does not require to store velocity. Includes a grid lookup (spatial partitioning) optimization, and a few other ...

The new program is validated in a set of clinical pedigrees demonstrating its practical accuracy and relevance to the field. Collectively, the data are compelling and support the major conclusions of ...

Objective This systematic review and meta-analysis aims to estimate the prevalence of high blood pressure (BP) and ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amilcar has 10 years of FinTech, blockchain, ...

Introduction Stress is a major health issue in contemporary society, and mindfulness-based approaches reduce stress and anxiety but face practical barriers to consistent practice; this protocol ...

I've been writing and editing stories for almost two decades that help people use technology and productivity techniques to work better, live better, and protect their privacy and personal data. As ...