The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …

Wearable health monitoring is an emerging technology for continuous monitoring of vital
signs including the electrocardiogram (ECG). This signal is widely adopted to diagnose and …

Negative events are prevalent all over the globe round the clock. People demonstrate
psychological affinity to negative events, and they incline to stay away from troubled …

The modern era, with information overload, has compelled strategic decision makers to
obtain assistance from artificial intelligence-(AI) based decision support systems (DSS) …

Modern-day news agencies cater for a wide range of negative news, since multiple studies
show general people are more attracted towards negative news. Once a highly negative …

Understanding the complex dynamics of global landslides is essential for disaster planners
to make timely and effective decisions that save lives and reduce the economic impacts on …

This paper describes an approach using computational intelligence methods to form a
hybrid model as a classification method for 2-lead cardiac arrhythmias. The hybridization of …

Existing studies on Twitter-based natural disaster analysis suffer from shortcomings like
limitations on supported languages, lack of sentiment analysis, regional restrictions, lack of …

The developments and applications of wireless body area networks (WBANs) for healthcare
and remote monitoring have brought a revolution in the medical research field. Numerous …

Automation in cardiac arrhythmia classification helps medical professionals to make
accurate decisions upon the patient's health. The aim of this work is to evaluate the …