Smart Grid is organically growing over the centrally controlled power system and becoming
a massively interconnected cyber–physical system with advanced technologies of fast …

Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …

Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …

In recent times, health applications have been gaining rapid popularity in smart cities using
the Internet of Medical Things (IoMT). Many real-time solutions are giving benefits to both …

Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile
networking with applications such as dynamic Radio Access Technology (RAT) selection …

Cross-sensitivity among chemical gas sensors leads to inaccurate identification of mixed
gas. Pattern recognition algorithms are usually applied to improve the recognition accuracy …

Swarms of collaborating Unmanned Aerial Vehicles (UAVs) that utilize ad-hoc networking
technologies for coordinating their actions offer the potential to catalyze emerging research …

This paper is motivated by a simple question: Can we design and build battery-free devices
capable of machine learning and inference in underwater environments? An affirmative …

Vehicular big data is anticipated to become the “new oil” of the automotive industry which
fuels the development of novel crowdsensing-enabled services. However, the tremendous …

Ubiquitously deployed Internet of Things (IoT)-based automatic vehicle classification
systems will catalyze data-driven traffic flow optimization in future smart cities and will …