The communication and networking field is hungry for machine learning decision-making
solutions to replace the traditional model-driven approaches that proved to be not rich …

The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …

Recent advancement in vision‐based robotics and deep‐learning techniques has enabled
the use of intelligent systems in a wider range of applications requiring object manipulation …

The GNSS performance could be significantly degraded by the interferences in an urban
canyon, such as the blockage of the direct signal and the measurement error due to …

In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …

Machine learning and, more precisely, data-driven models are providing solutions where
physics-based models are intractable. This article discusses the use of deep learning …

In the digital age, businesses collect vast amounts of data, but often lack the knowledge and
tools to fully utilize it. This paper analyzes current information management practices across …

Multipath and non-light-of-sight (NLOS) reception greatly deteriorate the GNSS positioning
accuracy in urban areas. Currently, most of the attempts using machine learning in this area …

A digital twin (DT) is an electronic replica of a real-world item. It is built on top of asset-
specific data items and is often enhanced using semantic technologies and simulation …

Netflix is a leading digital streaming platform that provides a variety of content to users.
Netflix charges a fixed amount from its users for its services. Unlike other digital streaming …