Graph neural network for traffic forecasting: The research progress
Traffic forecasting has been regarded as the basis for many intelligent transportation system
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …
SR-HGN: Semantic-and relation-aware heterogeneous graph neural network
Abstract Graph Neural Networks (GNNs) have received considerable attention in recent
years due to their unique ability to model both topologies and semantics in the graphs. In …
years due to their unique ability to model both topologies and semantics in the graphs. In …
Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture
In the intelligent transportation system (ITS), the vehicular fog computing network (VFCN)
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …
Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …
adaptability to various environmental conditions, holds immense potential across multi …
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 …
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 …
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) …
Internet traffic prediction with distributed multi-agent learning
Internet traffic prediction has been considered a research topic and the basis for intelligent
network management and planning, eg, elastic network service provision and content …
network management and planning, eg, elastic network service provision and content …
BPR: blockchain-enabled efficient and secure parking reservation framework with block size dynamic adjustment method
The parking lot is one of the important components of the intelligent transportation system
(ITS). The current parking lots mainly use instant parking, which has low parking efficiency …
(ITS). The current parking lots mainly use instant parking, which has low parking efficiency …
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 …