The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
IEEE

Ensemble Machine Learning for UAV Network Intrusion Detection: Comprehensive Analysis Using the UAV-NIDD Dataset

Abstract: Unmanned Aerial Vehicles (UAVs) are at the center of a number of mission-critical applications, however, the largescale deployment of these vehicles is accompanied by cybersecurity risks ...
IEEE

A Comprehensive Review of Machine Learning and Deep Learning Models in Cancer Detection: Advancements, Challenges, and Future Directions

Abstract: Cancer detection has become a critical focus of modern medical research, with numerous approaches developed to identify and diagnose various cancer types, such as breast cancer, lung cancer, ...