PsyPost on MSN

Music training may buffer children against the academic toll of poverty

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...
GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...
Frontiers

Machine learning-based algorithms for the prediction of 90-day survival in patients with liver failure receiving artificial liver therapy

Background: Liver failure is associated with high short-term mortality, and the predictive value of clinical factors for patients undergoing artificial liver therapy is uncertain. We aim to develop ...
IEEE

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems

Abstract: A brain-computer interface (BCI) system enables direct communication between the brain and external devices, offering significant potential for assistive technologies and advanced ...
Frontiers

Machine learning algorithms to predict heart failure with preserved ejection fraction among patients with premature myocardial infarction

Background: Heart Failure with Preserved Ejection Fraction (HFpEF) in patients with Premature Myocardial Infarction (PMI) is a crucial factor affecting long-term prognosis. This study aims to develop ...
Scientific Research Publishing

Guido, R., Ferrisi, S., Lofaro, D., & Conforti, D. (2024). An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review. Information ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...
IEEE

Classification of Human Ear Shape with Innovative RF and SVM Machine Learning Algorithms and Related Issues

Abstract: The main objective of this paper is to improve the accuracy for especial features of ear detection with ear shape images using learning algorithms. Materials and Methods: This paper’s ...