The early and accurate detection of COVID-19 is vital nowadays to avoid the vast and rapid
spread of this virus and ease lockdown restrictions. As a result, researchers developed …

As universal expressions to describe complex systems, graphs are increasingly preferred as
a representation method in artificial intelligence. Visibility graphs enable converting time …

An arrhythmia happens when the electrical signals that organize the heartbeat do not work
accurately. Most cases of arrhythmias may increase the risk of stroke or cardiac arrest. As a …

Real-time data collection and pre-processing have enabled the recognition, realization, and
prediction of diseases by extracting and analysing the important features of physiological …

Background The electrocardiogram (ECG) is a widely used diagnostic that observes the
heart activities of patients to ascertain a heart abnormality diagnosis. The artifacts or noises …

Cardiac arrhythmias are one of the main causes of death worldwide; therefore, early
detection is essential to save the lives of patients who suffer from them and to reduce the …

Wearable devices are often used to diagnose arrhythmia, but the electrocardiogram (ECG)
monitoring process generates a large amount of data, which will affect the detection speed …

In the case of pandemics such as COVID-19, the rapid development of medicines
addressing the symptoms is necessary to alleviate the pressure on the medical system. One …

The energy efficiency of CNN-based inference engines predominately depends upon Giga-
operations-per-second and power consumption. The sparse-based accelerator compresses …

More than 50% of the images captured by optical satellites are covered by clouds, which
reduces the available information in the images and seriously affects the subsequent …