Fog computing is an evolving paradigm that addresses the latency-oriented performance
and spatio-temporal issues of the cloud services by providing an extension to the cloud …

Fog/edge computing, function as a service, and programmable infrastructures, like software-
defined networking or network function virtualisation, are becoming ubiquitously used in …

Semantic classes can be either things (objects with a well-defined shape, eg car, person) or
stuff (amorphous background regions, eg grass, sky). While lots of classification and …

Trust is a crucial aspect when cyber-physical systems have to rely on resources and
services under ownership of various entities, such as in the case of Edge, Fog and Cloud …

Automatic detection of borders using remote sensing images will minimize the dependency
on time-consuming manual input. The lack of field border data sets indicates that current …

In the Industry 4.0, edge industrial services such as smart robotic services are widely used in
smart factory. The workflow of these services mainly consists of task decomposition and …

Mobile cloud computing is a paradigm that delivers applications to mobile devices by using
cloud computing. In this way, mobile cloud computing allows for a rich user experience; …

In order to improve the traffic in large cities and to avoid congestion, advanced methods of
detecting and predicting vehicle behaviour are needed. Such methods require complex …

Fog computing (FC) is a scalable and responsive computing paradigm that uses distributed
computing resources to provide efficient and localized data processing solutions to …

Edge computing brings cloud services closer to the edge of the network, where data
originates, and dramatically reduces the network latency of the cloud. It is a bridge linking …