Le Lézard

OpenEvidence Collaborates With NCCN to Integrate Canonical Oncology Treatment Algorithms at the Point-of-Care

OpenEvidence now integrates National Comprehensive Cancer Network® (NCCN®) Clinical Practice Guidelines in Oncology (NCCN Guidelines®) directly in answers, grounding responses in the pinnacle ...

The Governance Gap That Could Break Financial Markets

Banks are deploying autonomous AI agents with transactional authority. The risk framework meant to govern them was just ...

This AI-powered robot can tell which trees are thirsty and which aren’t

Water scarcity is emerging as a major threat in contemporary agriculture, necessitating the development of innovative means ...
SciELO

Comparison of predictive performance of data mining algorithms in predicting body weight in Mengali rams of Pakistan

The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
IEEE

Brain Tumor Classification System Using Decision Tree Algorithm

Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...
Visual Studio Magazine

Decision Tree Regression from Scratch Using JavaScript

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...
IEEE

Optimizing Wind Energy Forecasting: A Comparative Study of ANN and Decision Tree Algorithms

Abstract: Accurate wind power forecasting is crucial for efficient power grid operation with significant wind power integration. This study compares tree-based learning algorithms and advanced machine ...