For the first time, an international research team led by the Shanghai Astronomical Observatory (SHAO) of the Chinese Academy of Sciences has demonstrated that applying pixelized strong-lensing ...

Objective: To describe the joint manifestations associated with clonal haematopoiesis and to compare patients with and ...

A new approach enhances AI understanding through hierarchical clustering techniques with LLM-driven keyphrase extraction.

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary ...

As a result, researchers are now exploring new strategies such as iterative and hierarchical reasoning. These methods aim to make reasoning deeper, more efficient, and more robust. This article ...

This project applies hierarchical clustering to group local authorities in England based on case closure reasons from the Children in Need Census (2013–2024). It supports benchmarking, policy ...

ABSTRACT: Located in the west of the Ivory Coast, the Tonkpi region with its estimated population of around 884,700 inhabitants faces many drinking water problems, especially in the dry season. The ...

Abstract: In today’s modern Internet era, botnets have become one of the primary cybersecurity threats, capable of causing immense disruption, financial losses, and data breaches. Botnets exist in ...

Introduction: The relationship between physical activity and anxiety among students has been extensively studied, with research highlighting the protective effects of physical activity on mental ...