IEEE

Fault Diagnosis and Prediction of Electric Vehicle Drive using Support Vector Machine Algorithm

Preventive identification of Electric Vehicle (EV) drive faults always play a vital role in machine condition monitoring. Further, Machine Learning (ML) algorithms are becoming essential for ensuring ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Hosted on MSN

The unexpected risks of using mini machines on construction sites

Discover how mini machines can cause major mayhem on the jobsite including unexpected challenges safety risks and tips for managing small equipment effectively to prevent costly mistakes #MiniMachines ...
IEEE

Digitization and Classification of Electrocardiograms for Automated Cardiovascular Disease Diagnosis Using Machine Learning and Deep Learning Models

Abstract: Electrocardiograms (ECG) enable the straightforward identification of cardiovascular diseases (CVD). However, the complexity of ECG graphs often challenges physicians in making precise and ...