Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Abstract: This research addresses the unique challenges of underwater image segmentation, such as reduced visibility, color distortion, and complex backgrounds. A key novelty of this work lies in the ...

Abstract: This paper presents a Bayesian multifractal segmentation method that segments multifractal textures in regions with different multifractal properties. First, a computationally and ...

Background: Heart failure has traditionally been classified as systolic vs diastolic, however acute heart failure (AHF) hospitalizations, often has various outcomes seen in bedside clinical medicine, ...