Objective A multidisciplinary team is essential to providing high-quality, patient-centred care. However, its effectiveness can be either hindered or facilitated by various factors, such as the need ...

Abstract: Understanding categorical data with vague qualitative values by forming clusters is crucial in many data-driven AI fields. Compared with numerical data with its quantitative values embedded ...

Abstract: In recent years, space–time coding metasurfaces and antennas have attracted widespread attention in both radar and sensing technologies due to their low manufacturing costs, simple ...

Numerous studies have demonstrated that citizen science can provide valuable data on physical, chemical, and biological aspects of water quality. These studies mainly used quantitative methods.

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights ...

Beta - This Python library is under active development. There may be breaking changes that occur until release of 0.1.0. The AI Data Science Team of Copilots includes Agents that specialize data ...

WASHINGTON (AP) — More than 300 million Americans’ Social Security data was put at risk after Department of Government Efficiency officials uploaded sensitive information to a cloud account not ...