This article surveys existing techniques for meeting the time-bound requirements of time-
sensitive applications in the Internet of Things (IoT). To provide the foundation for identifying …

The increase of mental illness cases around the world can be described as an urgent and
serious global health threat. Around 500 million people suffer from mental disorders, among …

Machine learning (ML) is now widespread. Traditional software engineering can be applied
to the development ML applications. However, we have to consider specific problems with …

The pervasiveness of Internet of Things devices in techno-socio-economic domains such as
Smart Cities and Smart Grids results in a massive scale of data about our society. Decision …

Background: As medical knowledge is continuously expanding and diversely located,
Health Information Technology (HIT) applications are proposed as a good prospect for …

Abstract Ubiquitous computing and The Internet-of-Things (IoT) grow rapidly in today's life
and evolving to Self-organizing systems (SoS). A unified and scalable information …

Smart mobile devices are fundamental date sources for crowd activity tracing. Large-scale
mobile networks and the Internet-of-Things (IoT) expand and become part of pervasive and …

The research on emergency response systems usually only considers the role of
professional rescuers in emergency rescue or the activities taken by the victims in the …

Recent trends like internet-of-things (IoT) and internet-of-everything (IoE) require new
distributed computing and communication approaches as size of interconnected devices …

Agent-based modeling is a promising approach for developing simulation tools for natural
hazards in different areas, such as during urban search and rescue (USAR) operations. The …