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 …

A survey on UAV-aided maritime communications: Deployment considerations, applications, and future challenges

N Nomikos, PK Gkonis, PS Bithas… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Maritime activities represent a major domain of economic growth with several emerging
maritime Internet of Things use cases, such as smart ports, autonomous navigation, and …

[HTML][HTML] Beyond encryption: Exploring the potential of physical layer security in UAV networks

F Xu, S Ahmad, M Ahmed, S Raza, F Khan, Y Ma… - Journal of King Saud …, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) have attracted much attention for civil and military uses
because of their high mobility and adaptable deployment capabilities in open spaces. They …

Generative ai for physical layer communications: A survey

N Van Huynh, J Wang, H Du, DT Hoang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …

[HTML][HTML] Minimizing energy consumption for noma multi-drone communications in automotive-industry 5.0

A Nauman, M Obayya, MM Asiri, K Yadav… - Journal of King Saud …, 2023 - Elsevier
The forthcoming era of the automotive industry, known as Automotive-Industry 5.0, will
leverage the latest advancements in 6G communications technology to enable reliable …

On the vital aspects and characteristics of cryptocurrency—A survey

AFMS Shah, MA Karabulut, AFMS Akhter… - Ieee …, 2023 - ieeexplore.ieee.org
Cryptocurrencies acquire user confidence by making the whole creation and transaction
history transparent to the public. In exchange, the transaction history accurately captures the …

A Machine Learning-Based Interest Flooding Attack Detection System in Vehicular Named Data Networking

AH Magsi, SAH Mohsan, G Muhammad, S Abbasi - Electronics, 2023 - mdpi.com
A vehicular ad hoc network (VANET) has significantly improved transportation efficiency with
efficient traffic management, driving safety, and delivering emergency messages. However …

Dynamic resource management in integrated NOMA terrestrial–satellite networks using multi-agent reinforcement learning

A Nauman, HM Alshahrani, N Nemri… - Journal of Network and …, 2024 - Elsevier
The integration of terrestrial and satellite wireless communication networks offers a practical
solution to enhance network coverage, connectivity, and cost-effectiveness. Moreover, in …

Firefly Algorithm-Based LSTM Model for Guzheng Tunes Switching with Big Data Analysis

M Han, S Soradi-Zeid, T Anwlnkom, Y Yang - Heliyon, 2024 - cell.com
Guzheng tune progression involves intricately harmonizing melodic motif transitions.
Effectively navigating this vast creative possibility space to expose musically consistent …

Enhancing Congestion Control to Improve User Experience in IoT Using LSTM Network

AU Rahman, B Saqia, WU Khan… - 2023 IEEE 98th …, 2023 - ieeexplore.ieee.org
In the constantly developing realm of the Internet of Things (IoT), guaranteeing fast data
transfer and a smooth user experience is critical. In IoT contexts with limited resources …