The fuzzy logic-based neural network usually forms fuzzy rules via multiplying the input
membership degrees, which lacks expressiveness and flexibility. In this article, a novel …

With the advent of Internet and computing, we entered into an era with more people
exchanging information over the Internet using devices like desktops, laptops, tablets …

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 …

An important use case of the Mobile Edge Computing (MEC) paradigm is task and data
offloading. Computational offloading is beneficial for a wide variety of mobile applications on …

Demand prediction for humanitarian logistics is a complex problem with immediate real-
world consequences. This paper examines fuel demand during two regional humanitarian …

Vehicular edge computing is a new computing paradigm. By introducing edge computing
into the Internet of Vehicles (IoV), service providers are able to serve users with low-latency …

The ability to perform computation on devices present in the Internet of Things (IoT) and
Edge Computing (EC) environments leads to bandwidth, storage, and energy constraints, as …

Internet of Things offers the infrastructure for smooth functioning of autonomous context-
aware devices being connected towards the Cloud. Edge Computing (EC) relies between …

Mobile Edge Computing (MEC) has emerged as new computing paradigm to improve the
QoS of users' applications. A challenge in MEC is computation (task/data) offloading, whose …

To cope with the challenge of managing numerous computing devices, humongous data
volumes and models in Internet-of-Things environments, Edge Computing (EC) has …