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Found 7 papers, 2 papers with code
Adaptive Genetic Selection based Pinning Control with Asymmetric Coupling for Multi-Network Heterogeneous Vehicular Systems
To alleviate computational load on RSUs and cloud platforms, reduce communication bandwidth requirements, and provide a more stable vehicular network service, this paper proposes an optimized pinning control approach for heterogeneous multi-network vehicular ad-hoc networks (VANETs).
Scalable Multi-Objective Optimization for Robust Traffic Signal Control in Uncertain Environments
This paper presents a scalable multi-objective optimization approach for robust traffic signal control in dynamic and uncertain urban environments.
URLBERT:A Contrastive and Adversarial Pre-trained Model for URL Classification
To address this gap, this paper introduces URLBERT, the first pre-trained representation learning model applied to a variety of URL classification or detection tasks.
Multi-objective Optimal Roadside Units Deployment in Urban Vehicular Networks
Therefore, the deployment of RSUs is of utmost importance in ensuring the quality of communication services.
Neural Abstract Style Transfer for Chinese Traditional Painting
In experiments, the proposed method shows more appealing stylized results in transferring the style of Chinese traditional painting than state-of-the-art neural style transfer methods.
Auto-Context R-CNN
Although surrounding context is well-known for its importance in object detection, it has yet been integrated in R-CNNs in a flexible and effective way.
