Pedestrian detection is a specific application of object detection. Compared with general
object detection, it shows similarities and unique characteristics. In addition, it has important …

Abstract Many Internet of Things (IoT) systems generate a massive amount of data needing
to be processed and stored efficiently. Cloud computing solutions are often used to handle …

With rapid development of the Internet of Things (IoT), a vast amount of raw data produced
by IoT devices needs to be processed promptly. Compared to cloud computing, fog …

Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with early exits are
two emerging paradigms which, up to now, are evolving in a standing-alone fashion …

Fog computing is becoming a popular paradigm for bringing the advantages of the cloud
nearer to the network edge. This way, computational tasks can be offloaded from end …

In response to the needs of physical health data management in the context of the Internet of
Everything, this article first uses cloud computing, big data, mobile Internet and other …

Fog computing is a distributed computing paradigm that extends cloud computing
capabilities to the edge of the network and aims at reducing high latency and network …

Internet of Things (IoT) is swiftly evolving into a disruptive technology in recent years. For
enhancing customer experience and accelerating job execution, IoT task offloading enables …

Abstract Internet of Things (IoT) is an emerging paradigm that transforms everyday devices
(Things) into Internet-connected devices with sensing, processing, and actuation …

One of the challenges of using fog computing in IoT systems is the efficient placement of
resources in IoT applications. This paper presents a resource placement method for fog …