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Online Service Provisioning in NFV-enabled Networks Using Deep Reinforcement Learning
In specific, the obtained results show that the average number of admitted requests of the network increases by 7 up to 14% and the network utilization cost decreases by 5 and 20 %.
Adversarial Stacked Auto-Encoders for Fair Representation Learning
Training machine learning models with the only accuracy as a final goal may promote prejudices and discriminatory behaviors embedded in the data.
On the Fairness of Generative Adversarial Networks (GANs)
Generative adversarial networks (GANs) are one of the greatest advances in AI in recent years.
Access Control Mechanisms in Named Data Networks: A Comprehensive Survey
Named Data Networking (NDN) is one of the most recent and active ICN architectures that provides a clean slate approach for Internet communication.
Networking and Internet Architecture
Machine Learning in IoT Security: Current Solutions and Future Challenges
We also discuss in detail the existing ML and DL solutions for addressing different security problems in IoT networks.
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks
Automatic analysis of the video is one of most complex problems in the fields of computer vision and machine learning.
Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction
Hyperspectral image analysis often requires selecting the most informative bands instead of processing the whole data without losing the key information.
