Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

The Internet of Things (IoT) is an emerging paradigm that is transforming real-world things
(objects) into smarter devices. IoT is applicable to a variety of application domains including …

With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent
data collection and processing paradigm of the industrial Internet of Things, has provided a …

Abstract The Internet of Autonomous Things (IoAT), also known as Autonomous Things
(AuT), is a relatively new concept for technological advancements that enable autonomous …

In this paper, a novel system architecture including a massive multi-input multi-output
(MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is …

Over the past several decades, the development of technologies and the production of
autonomous vehicles have enhanced the need for intelligent intersection management …

Federated learning-based automotive navigation has recently received considerable
attention, as it can potentially address the issue of weak global positioning system (GPS) …

Mobile crowdsensing is an emerging paradigm that selects users to complete sensing tasks.
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …