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 …
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
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 …
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
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 …
because of their high mobility and adaptable deployment capabilities in open spaces. They …
Generative ai for physical layer communications: A survey
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 …
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
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 …
leverage the latest advancements in 6G communications technology to enable reliable …
On the vital aspects and characteristics of cryptocurrency—A survey
Cryptocurrencies acquire user confidence by making the whole creation and transaction
history transparent to the public. In exchange, the transaction history accurately captures the …
history transparent to the public. In exchange, the transaction history accurately captures the …
[HTML][HTML] A Machine Learning-Based Interest Flooding Attack Detection System in Vehicular Named Data Networking
A vehicular ad hoc network (VANET) has significantly improved transportation efficiency with
efficient traffic management, driving safety, and delivering emergency messages. However …
efficient traffic management, driving safety, and delivering emergency messages. However …
Dynamic resource management in integrated NOMA terrestrial–satellite networks using multi-agent reinforcement learning
The integration of terrestrial and satellite wireless communication networks offers a practical
solution to enhance network coverage, connectivity, and cost-effectiveness. Moreover, in …
solution to enhance network coverage, connectivity, and cost-effectiveness. Moreover, in …
[HTML][HTML] 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 …
Effectively navigating this vast creative possibility space to expose musically consistent …
Enhancing Congestion Control to Improve User Experience in IoT Using LSTM Network
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 …
transfer and a smooth user experience is critical. In IoT contexts with limited resources …