Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...

Under the Green Commodities Programme (GCP III) with funding from Swiss State for Economic Affairs (SECO), partners and stakeholders convened for a Hotspot Intervention Area (HIA) Dialogue to discuss ...

BEIJING -- China will launch a nationwide initiative to tag and protect ancient and notable trees, reinforcing their status as "green national treasures" and "living cultural relics," a senior ...

The focus in Belém should be a plan to get results on climate action in the real world rather than haggling over a political statement Brazil's Environment Minister Marina Silva speaks at the pre-COP ...

Copyright: Published by Elsevier Ltd. This prospective implementation study was done in 15 geographically diverse rheumatology clinics across the USA. Adults aged 18 ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

Collective decision-making is hardly a perfect science. Broken processes, data overload, information asymmetry, and other inequities only compound the challenges that come from large, disparate ...

#DESCRIPTION: This project was developed as part of CodTech Internship Task-1, where I implemented a basic Decision Tree Classifier using Python. The objective was to understand how decision trees ...