Although information and communications technologies (ICTs) have the potential of
enabling powerful social, economic and environmental benefits, ICT systems give a non …

This paper presents a method developed to predict the flight-time employed by a drone to
complete a planned path adopting a machine-learning-based approach. A generic path is …

This paper describes an adaptive method to predict the battery discharge of a multirotor
drone over a generic path. A proper assessment of battery state of discharge trend is critical …

The high demand for energy resources due to the increasing number of electronic devices
has prompted the constant search for different or alternative energy sources to reduce …

Information and communication technology (ICT) has greatly impacted how humans live and
interact with the environment. This work reviews the various ways in which ICT has …

Supervised machine learning is a promising technique to achieve joint resource allocation
and selection of mobile relays in cooperative heterogeneous networks. Joint resource …

This paper is focused on the analysis of unfairness of random media access in Local
Operating Networks (LON), which is one of the commercial platforms of the Industrial Internet …

Over time, higher demand for data speed and quality of service by an increasing number of
mobile network subscribers has been the major challenge in the telecommunication …

Ambient backscatter communication (ABC) is considered as a promising paradigm for
meeting the 6G massive Internet of Things (IoT) requirements which is expected to …

Deep learning is a division of machine learning built on a set of algorithms that attempt to
model high-level abstractions in data by using prototypical architectures with complex …