The bidding strategies in electricity markets are non-conventional sources of flexibility. The
market bids are usually in the form of a price and quantity quotation, and they state how …

Compressed sensing (CS) and its medical applications are active areas of research. In this
paper, we review recent works using deep learning method to solve CS problem for images …

To study the impact of the agricultural information system based on the Internet of Things
(IoT) on the income of agricultural products, an agricultural information system was …

COVID-19 data analysis and prediction from patient data repository collected from hospitals
and health organizations. Users' credentials and personal information are at risk; it could be …

The Internet of Things (IoT) is becoming a pervasive technology entangled in everyday life.
The objective of IoT is to provide ubiquitous access to numerous devices and machines on …

In recent years, there has been a surge in the use of deep learning systems for e-healthcare
applications. While these systems can provide significant benefits regarding improved …

One of the most fatal and prevalent diseases of the central nervous system is a brain tumour.
Different subgrades exist for each type of brain tumour because of the broad variety of brain …

Wearable sensors provide a recording capability of the body segments' motion. By collecting
and analyzing the segments' movements, automating the post-stroke assessment process …

Since the emergence of coronavirus disease–2019 (COVID-19) outbreak, every country has
implemented digital solutions in the form of mobile applications, web-based frameworks …

The trend of rapid development of information technologies is creating new challenges in
information security such as security management of identities in e-learning systems. In …