The agency’s commissioner has implied that some of their ingredients may be harmful. Is that true? By Alice Callahan and Teddy Rosenbluth Last week, the Food and Drug Administration convened a panel ...

Abstract: This study proposes a virtual mouse system that employs hand gesture recognition, utilizing the Euclidean distance algorithm to achieve precise gesture detection. The system was developed ...

Machine learning has expanded beyond traditional Euclidean spaces in recent years, exploring representations in more complex geometric structures. Non-Euclidean representation learning is a growing ...

Abstract: Euclidean distance transforms are fundamental in image processing and computer vision, with critical applications in medical image analysis and computer graphics. However, existing ...

ABSTRACT: Purpose: This study describes a machine-learning approach utilizing patients' anatomical changes to predict parotid mean dose changes in fractionated radiotherapy for head-and-neck cancer, ...

Although of interest for over a century, most useful results concerning Euclidean distance matrices (EDMs) have appeared during the last thirty years, motivated by applications to the multidimensional ...

Distance calculation is essential in various fields like physics, mathematics, engineering, geography, and everyday life. Knowing how to measure distance accurately and efficiently allows us to ...