Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
Autonomous Vehicles in 5G and beyond: A Survey
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
A fog-cluster based load-balancing technique
The Internet of Things has recently been a popular topic of study for developing smart
homes and smart cities. Most IoT applications are very sensitive to delays, and IoT sensors …
homes and smart cities. Most IoT applications are very sensitive to delays, and IoT sensors …
[HTML][HTML] Computational and topological properties of neural networks by means of graph-theoretic parameters
A neural network is a computer system modeled on the nerve tissue and nervous system. In
this sense, neural networks refer to systems of neurons, either organic or artificial in nature …
this sense, neural networks refer to systems of neurons, either organic or artificial in nature …
Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications
The advancing applications based on machine learning and deep learning in
communication networks have been exponentially increasing in the system architectures of …
communication networks have been exponentially increasing in the system architectures of …
Smart collaborative evolvement for virtual group creation in customized industrial IoT
Customized industrial Internet of Things (IoT) has presented more advanced requirements in
strong pertinence, low energy consumption, and simplified design. However, the element …
strong pertinence, low energy consumption, and simplified design. However, the element …
Confidence-enhanced mutual knowledge for uncertain segmentation
It is inevitable to recognize objects in adverse weather conditions where the uncertainty of
contour areas is increased. Although some multi-task learning frameworks have gained from …
contour areas is increased. Although some multi-task learning frameworks have gained from …
Geo-aware graph-augmented self-attention network for individual mobility prediction
Y Wang, H Chen, S Liu, K Wang, Y Hu - Future Generation Computer …, 2024 - Elsevier
Even though some studies have found encouraging results, the sparsity of data and the
complexity of mobility patterns remain significant challenges in predicting individual mobility …
complexity of mobility patterns remain significant challenges in predicting individual mobility …
A Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference Learning
Accurately predicting human mobility is crucial for various applications, eg, transportation
services, epidemic control, and advertisement recommendation. Although numerous …
services, epidemic control, and advertisement recommendation. Although numerous …
Intelligent beamforming for UAV assisted IIoT based on hypergraph inspired explainable deep learning
The development of industry is inseparable from the development of Industrial Internet of
Things (IIoT), with the continuous development of artificial intelligence (AI), deep learning …
Things (IIoT), with the continuous development of artificial intelligence (AI), deep learning …