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A systematic analysis of enhancing cyber security using deep learning for cyber physical systems
In this current era, cyber-physical systems (CPSs) have gained concentrated consideration
in various fields because of their emergent applications. Though the robust dependence on …
in various fields because of their emergent applications. Though the robust dependence on …
A hybrid task offloading and resource allocation approach for digital twin-empowered UAV-assisted MEC network using federated reinforcement learning for future …
Federated learning (FL) is proposed as a different approach for distributed learning on the
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
[HTML][HTML] Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT
The exponential proliferation of wearable medical apparatus and healthcare information
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0
The use of unmanned aerial vehicles (UAVs) in Internet-of-Things (IoT) has grown, but
security for UAV communications still a challenge due to the distributed nature of line-of …
security for UAV communications still a challenge due to the distributed nature of line-of …
Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV
The fifth generation (5G) network enabled communication between devices has emerged as
a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless …
a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless …
RIS-assisted UAV-enabled green communications for industrial IoT exploiting deep learning
Q Xu, Q You, Y Gong, X Yang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), regarded as an important technology for Industry 4.0, has
the capability to connect massive IoT devices anywhere and at anytime in manufacturing …
the capability to connect massive IoT devices anywhere and at anytime in manufacturing …
Multi-IRS-assisted mmWave UAV-BS network for coverage extension
S Yamamoto, J Nakazato, GK Tran - Sensors, 2024 - mdpi.com
In the era of Industry 5.0, advanced technologies like artificial intelligence (AI), robotics, big
data, and the Internet of Things (IoT) offer promising avenues for economic growth and …
data, and the Internet of Things (IoT) offer promising avenues for economic growth and …
Quantum computing integrated patterns for real-time cryptography in assorted domains
Quantum computers use quantum-mechanical phenomena for knowledge manipulation and
depend on quantum bits or qubits. A qubit can be created in several different ways, and out …
depend on quantum bits or qubits. A qubit can be created in several different ways, and out …
SFL-TUM: Energy efficient SFRL method for large scale AI model's task offloading in UAV-assisted MEC networks
The convergence of mobile edge computing (MEC) network with unmanned aerial vehicles
(UAVs) presents an auspicious opportunity to revolutionize wireless communication and …
(UAVs) presents an auspicious opportunity to revolutionize wireless communication and …
Towards an optimal 3-D design and deployment of 6G UAVs for interference mitigation under terrestrial networks
Unmanned aerial vehicles (UAVs) have opened new communication possibilities by being
able to access remote areas. Their ability to serve a large number of users based on …
able to access remote areas. Their ability to serve a large number of users based on …