Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

[HTML][HTML] Flying free: A research overview of deep learning in drone navigation autonomy

T Lee, S Mckeever, J Courtney - Drones, 2021 - mdpi.com
Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …

A comprehensive survey of machine learning based localization with wireless signals

D Burghal, AT Ravi, V Rao, AA Alghafis… - arXiv preprint arXiv …, 2020 - arxiv.org
The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

On the application of machine learning to the design of UAV-based 5G radio access networks

V Kouhdaragh, F Verde, G Gelli, J Abouei - Electronics, 2020 - mdpi.com
A groundbreaking design of radio access networks (RANs) is needed to fulfill 5G traffic
requirements. To this aim, a cost-effective and flexible strategy consists of complementing …

A comprehensive survey on artificial intelligence for unmanned aerial vehicles

S Sai, A Garg, K Jhawar, V Chamola… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …

Intelligent caching in UAV-aided networks

M Zhang, EIH Mohammed… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deployment of unmanned aerial vehicles (UAVs) as flying base stations to provide specific
geographical area with air-to-ground wireless communications is expected to increase …

Secrecy outage performance of ground-to-air communications with multiple aerial eavesdroppers and its deep learning evaluation

T Bao, J Zhu, HC Yang… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this letter, we study the secure information transmission from a ground base station (GBS)
to a legitimate unmanned aerial vehicle (UAV) user, in the presence of multiple UAV …