Due to the significant communication delay to user tasks, the cloud is not ideal for executing
real-time tasks with stringent deadlines. Fog computing consists of low computation …

Cloud computing is widely used to support offloaded data processing for various
applications. However, latency constrained data processing has requirements that may not …

The objective is to solve the problem of image recognition in intelligent vehicles and
optimize the judgment of obstacles and the planning of subsequent routes of intelligent …

As driver assistance systems (DAS) become more widely used in automobiles over the last
few decades, the quality of driving has improved as a result. It is essential to customize …

Crowding in city public transportation systems is a primary issue that causes delay in the
mobility of passengers. Moreover, scheduled and unscheduled events in a city lead to …

Autonomous driving has attracted a significant amount of attentions over the last ten years.
Providing a flexible platform to schedule the executions of the tasks under hard real-time …

Electric-vehicle technology is an emerging area offering several benefits such as economy
due to low running costs. Electric vehicles can also help to significantly reduce CO2 …

This paper focuses on using the cooperative neuro-fuzzy system for the effective and
customised selection of entities from large and heterogeneous resources by presenting a …

A new task scheduling algorithm that schedules mixed task set consisting of real-time and
interactive tasks is presented. Our algorithm aims at minimizing the power consumption of …

Smart factory also known as smart manufacturing is an emerging field with the revolution of
industry 4.0. The smart factory concept is an integration of internet of things technologies …