Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

Abstract Today, Mobile Cloud Computing (MCC) alone can no longer respond to the
increasing volume of data and satisfy the necessary delays in real-time applications. In …

The possible applications of communication based on big data have steadily increased in
several industries, such as the autonomous vehicle industry, with a corresponding increase …

Recent technological advancements, encompassing cutting-edge sensors, drones, and AI
systems, present novel prospects for enhancing survivor detection in disaster scenarios …

In fog computing, the management, measurement, configuration, control, communication,
and storage tasks are carried out collaboratively by one or more near‐user or end users …

UAVs or Drones can be used to support wireless communication by acting as flying or
mobile Base Stations for the accumulation of the different types of data to train the models …

In this paper, we study a UAV‐based fog or edge computing network in which UAVs and
fog/edge nodes work together intelligently to provide numerous benefits in reduced latency …

Data protection shares sensitive data with authorized users over a wireless communication
network (WCN). To protect the data, a secured sharing method for WCNs is required, which …

The reliability and availability of a Jet Unmanned Aerial Vehicle (JUAV) for balloon downing
are evaluated in this third part of the paper. The paper delves into the challenges faced by …

Automated reading of license plate and its detection is a crucial component of the competent
transportation system. Toll payment and parking management e-payment systems may …