The accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignores the fact that many unimportant objects ...

Recent advances in hardware and information technology have accelerated the proliferation of smart and interconnected devices facilitating the rapid development of the Internet of Things (IoT). IoT applications and services ...

Future data-intensive intelligent applications are required to traverse across the cloudto-edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside sensor networks and data. However, current ...

The wide adoption of the recently coined fog and edge computing paradigms alongsideconventional cloud computing creates a novel scenario, known as the cloud continuum, whereservices may benefit from the overall set of ...

As a result of advances in technology and highly demanding users expectations, more and more applications require intensive computing resources and, most importantly, high consumption of data distributed throughout the ...

In order to address high latency issues that may arise when executing timecritical applications at the cloud side, the novel fog computing paradigm has emerged, thus enabling the execution of such applications within ...