IEEE

A Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning

Abstract: According to research, the vast majority of road accidents (90%) are the result of human error, with only a small percentage (2%) being caused by malfunctions in the vehicle. Smart vehicles ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
The Lancet

FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks

aInstitute for Diagnostic and Interventional Radiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland bDepartment of Nuclear Medicine, University Hospital Zurich and ...
IEEE

Machine Learning for Predictive Maintenance of Electrical Machines: A Review

Abstract: Predictive maintenance (PdM) of electrical machines has emerged as a critical research domain at the intersection of machine learning, electrical engineering, and Industry 4.0 technologies.