Abstract Machine learning (ML) is a subset of Artificial Intelligence (AI), which focuses on the
implementation of some systems that can learn from the historical data, identify patterns and …

Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …

Unceasing population growth and urbanization have intensified the traditional systems to
deal with citizen lifestyle, environment, economic issues and good governess. New …

The rapid improvement in the global connectivity standards has escalated the level of trade
taking place among different parties. Advanced communication standards are allowing the …

Intrusion detection is a crucial service in today's data networks, and the search for new fast
and robust algorithms that are capable of detecting and classifying dangerous traffic is …

Abstract The Internet of Health things (IoHT) has numerous applications in healthcare by
integrating health monitoring things like sensors and medical devices for remotely observe …

The popularity of the Android platform in smartphones and other Internet-of-Things devices
has resulted in the explosive of malware attacks against it. Malware presents a serious …

The significant evolution of the Internet of Things (IoT) enabled the development of
numerous devices able to improve many aspects in various fields in the industry for smart …

Systems developed to work with computational intelligence have become very efficient, and
in some cases obtain more accurate results than evaluations by humans. Hence, this work …

Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to
detect at initial stage resulting to increased mortality rate. The OC data generated from the …