DFGNN: An interpretable and generalized graph neural network for deepfakes detection
Deepfakes are generated using sophisticated deep-learning models to create fake images
or videos. As the techniques for creating deepfakes improve, issues like defamation …
or videos. As the techniques for creating deepfakes improve, issues like defamation …
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …
technology and is currently under research and development. It is expected to deliver faster …
Multi-domain virtual network embedding algorithm based on horizontal federated learning
Network Virtualization (NV) is an emerging network dynamic planning technique to
overcome network rigidity. As its necessary challenge, Virtual Network Embedding (VNE) …
overcome network rigidity. As its necessary challenge, Virtual Network Embedding (VNE) …
Distributed deep reinforcement learning assisted resource allocation algorithm for space-air-ground integrated networks
To realize the Interconnection of Everything (IoE) in the 6G vision, the space-based, air-
based, and ground-based networks have shown a trend of integration. Compared with the …
based, and ground-based networks have shown a trend of integration. Compared with the …
A web knowledge-driven multimodal retrieval method in computational social systems: Unsupervised and robust graph convolutional hashing
Y Duan, N Chen, AK Bashir… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Multimodal retrieval has received widespread consideration since it can commendably
provide massive related data support for the development of computational social systems …
provide massive related data support for the development of computational social systems …
[HTML][HTML] Non-Euclidean graph-convolution virtual network embedding for space–air–ground integrated networks
For achieving seamless global coverage and real-time communications while providing
intelligent applications with increased quality of service (QoS), AI-enabled space–air …
intelligent applications with increased quality of service (QoS), AI-enabled space–air …
Multi-Target-Aware Dynamic Resource Scheduling for Cloud-Fog-Edge Multi-Tier Computing Network
With the maturity of 5G and Intelligent Transportation Systems (ITS) technologies and the
prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of …
prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of …
Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE
As electric vehicle (EV) ownership becomes more commonplace, partly due to government
incentives, there is a need also to design solutions such as energy allocation strategies to …
incentives, there is a need also to design solutions such as energy allocation strategies to …
Multi-target-aware energy orchestration modeling for grid 2.0: A network virtualization approach
L Wang, Z Zheng, N Chen, Y Chi, Y Liu, H Zhu… - IEEE …, 2023 - ieeexplore.ieee.org
Smart Grid–Grid 2.0, is a promising grid scenario due to its low cost, high reliability, and high
security. However, the high-intensity complex task interaction and the differentiated Quality …
security. However, the high-intensity complex task interaction and the differentiated Quality …
The evolution of intellectual property rights in metaverse based Industry 4.0 paradigms
BB Gupta, A Gaurav, V Arya, W Alhalabi - … and Management Journal, 2024 - Springer
Inventive property rights (IPR) issues became very important after the announcement of the
metaverse. As in the metaverse, the traditional laws of IPR are applicable, and research on …
metaverse. As in the metaverse, the traditional laws of IPR are applicable, and research on …