IEEE

Application of Deep Learning in ECG Signal Classification: Comparison of CNN, LSTM, and Hybrid Approaches

Abstract: In this paper, the application of deep learning for ECG signal classification is discussed. Three different approaches, namely Convolutional Neural Network (CNN), Long Short-Term Memory ...
Dark Reading

Flaws in Claude Code Put Developers' Machines at Risk

Three critical security vulnerabilities in Anthropic’s AI-powered coding tool, Claude Code, exposed developers to full machine takeover and credential theft simply by opening a project repository.
IEEE

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers

Abstract: Large language models have catalyzed an unprece-dented wave in code generation. While achieving significant advances, they blur the distinctions between machine- and human-authored source ...
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 ...