Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …

The extensive growth of data in the health domain has increased the utility of Deep Learning
in health. Deep learning is a highly advanced successor of artificial neural networks, having …

In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

Health monitoring systems (HMSs) capture of physiological measurements through
biosensors (sensing), obtain significant properties and measures from the output signal …

The unmanned aerial vehicles (UAVs) emerged into a promising research trend within the
recurrent year where current and future networks are to use enhanced connectivity in these …

The unmanned aerial vehicles (UAVs) emerged into a promising research trend within the
recurrent year where current and future networks are to use enhanced connectivity in these …

Healthcare issues are currently the most researched issues worldwide. Many healthcare
researchers collaborate with non-healthcare researchers to improve the quality of …

This study aims to develop an affordable, user-friendly, and non-invasive system for
diabetes detection and classification and measuring blood glucose levels using breath …

This study shows the best approach to have an effective low cost Arduino-based smart
irrigation system (LCABSIS). The system is designed to allow farmers to be more efficient, to …

There is an urgent need to combat COVID 19 and to find strategies to minimize the
devastating effect that causes in the community. This paper focuses on an automated …