Scientific Research Publishing

From Prediction to Action: An Agentic AI Framework for Workforce Substitution and Risk-Aware Automation Decisions ()

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...
IEEE

Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability

Abstract: Agriculture is pivotal for the economy of a country as it is a major source of food, employment and raw materials. However, challenges such as diseases, soil degradation, and water scarcity ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
scienceopen.com

Hybrid Feature Extraction-based Learning Disabilities Identification Model

Dyslexia and dysgraphia are common learning disabilities that significantly impact handwriting and reading abilities, making early diagnosis crucial for effective intervention. Traditional assessment ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
IEEE

An Integrated Two-Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers

Abstract: Cardiovascular problems have emerged as a significant concern, adversely impacting individuals across all age groups. Several recent research studies have used Machine learning (ML) ...
Frontiers

Decision trees: from efficient prediction to responsible AI

This article provides a birds-eye view on the role of decision trees in machine learning and data science over roughly four decades. It sketches the evolution of decision tree research over the years, ...