Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia The final, formatted version of the article will be published soon. Interpreting ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

The ECG signals analysis is a frequently used approach for classification of cardiac patients. Traditionally, this analysis is made by expert doctors. However, recently, it is increasingly supported ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...

The tunnel boring machine (TBM) has arrived for the Société de transport de Montréal’s (STM) Blue Line Project. STM says the machine was custom-made in Germany and will be used to dig and encase 4.6 ...

A personal repo for small ML projects I build while learning new algorithms — like simple linear regression and more. Nothing major here, just hands-on practice to apply what I’ve learned.

Abstract: This project focuses on utilizing machine learning techniques to identify and detect abnormal cardiac conditions through the analysis of Electrocardiogram (ECG) signals. With cardiovascular ...

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...

WaveformNet is a deep learning project for classifying electrocardiogram (ECG) signals into multiple arrhythmia types using convolutional neural networks. It features two separately trained models: a ...