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 ...

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

Abstract: A new switching control algorithm based on state trajectory approximation is proposed to regulate the output voltage of a representative second-order DC-DC converter - the boost converter.

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 ...

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...

Health insurance companies cannot use algorithms or artificial intelligence to determine care or deny coverage to members on Medicare Advantage plans, the Centers for Medicare & Medicaid Services (CMS ...