Abstract: As a Big Data analysis technique, hierarchical clustering is helpful in summarizing data since it returns the clusters of the data and their clustering history. Cloud computing is the most ...

The new reasoning AI, called a hierarchical reasoning model (HRM), is inspired by the hierarchical and multi-timescale processing in the human brain — the way different brain regions integrate ...

Autoimmune conditions and ‘breast implant illness’ in breast cancer patients with implant-based breast reconstructions. Proportions of patients with clinically meaningful symptoms by CL at Y1 (may not ...

BACKGROUND Leprosy, a neglected tropical disease caused by Mycobacterium leprae, presents significant public health challenges in Brazil due to its slow progression, dermato-neurological ...

A static binary analysis tool visualizes code blocks in the assembly of a disassembled binary file using the AHC algorithm, aided by entropy calculation and similarity measurement.

Introduction: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical and angiographic characteristics. Hypothesis: We hypothesized that unsupervised machine learning ...

Artificial Intelligence (AI) has revolutionized numerous industries, from healthcare to finance. It empowers machines to learn from data, make intelligent decisions, and solve complex problems. Let’s ...

The main challenge in solving clustering problems using mathematical optimization techniques is the non-smoothness of the distance measure used. To overcome this challenge, we used Nesterov's ...