Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

Blood pressure (BP) monitoring can be performed either invasively via arterial
catheterization or non-invasively through a cuff sphygmomanometer. However, for …

Early identification of diabetics using retinopathy images is still a difficult challenge. Many
illness diagnosis techniques are accomplished by using the blood vessels present in fundus …

One of the most common applications of deep learning algorithms is sentiment analysis.
This study delivers a better performing and efficient automated feature extraction technique …

Biometric identification technology is widely utilized in our everyday lives as a result of the
rising need for information security and safety laws throughout the world. In this aspect …

Over the last decade, remote sensing technology has advanced dramatically, resulting in
significant improvements on image quality, data volume, and application usage. These …

With the emergence of the Internet of Things (IoT), investigation of different diseases in
healthcare improved, and cloud computing helped to centralize the data and to access …

Cardiac arrhythmia is an illness in which a heartbeat is erratic, either too slow or too rapid. It
happens as a result of faulty electrical impulses that coordinate the heartbeats. Sudden …

Facemask has become mandatory in all COVID-infected communities present across the
world. However, in real-life situations, checking the facemask code on each individual has …

Chronic heart failure (CHF) is a worldwide disease that affects more than 26 million people
in the developed world. Tracking complications such as cardiovascular failure patients could …