The United States Patent and Trademark Office (USPTO) is changing how examiners review software inventions, especially those involving ...

Abstract: Feature selection is a critical and prominent task in machine learning. To reduce the dimension of the feature set while maintaining the accuracy of the performance is the main aim of the ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Imagine navigating a sprawling subway system or a dark tunnel where Global Navigation Satellite System (GNSS) signals cannot reach. For decades, this ...

February 17, 2026 — The Brain Trauma Foundation has updated the 2001 evidence-based guidelines for the care of patients with penetrating traumatic brain injury (pTBI). A working group of more than 30 ...

Abstract: Blocking lot-streaming flow shop scheduling problem with the stochastic processing time has a wide range of applications in various industrial systems. However, this problem has not yet been ...

Background Atrial fibrillation (AF) is linked to significant morbidity and mortality, with ischaemic stroke being a leading ...

Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...

Algorithms are ubiquitous in medicine. They can take the form of a flowchart, a simple equation, or a complicated AI model, and are used to help clinicians diagnose diseases, predict the chances of ...