… time to bring the deep learning method together with network traffic control. While these two
… describe our proposed deep learning system for heterogeneous network traffic control. Our …

… issues related to deep learning applications in networking … The work in [91] proposed a deep
learning architecture to … ), beyond 4G, and heterogeneous cellular networks along with the …

… may have multiple and heterogeneous data sources and face … We propose a workflow based
on our observations of deep … improvements as well as transversal issues, such as security. …

… systems for small and medium scale networks, its … scale network settings due to a number
of issues. In this paper, we addressed the issues, and proposed a reward based deep learning …

… in deep neural networks demonstrates that our proposed … learning is a mixed deep learning
approach and deals with large network problems such as traffic flow and traffic control. In …

… Therefore, deep learning has a good advantage in solving … algorithm based on deep learning
proposed in this research … algorithm based on deep learning proposed in this research. …

… Standard Traffic Classification using Deep Learning Herein we complete our review of related
literature by discussing recent DL proposals to standard TC. Wang [19] suggests a first DL …

… Our proposed method employs deep Convolutional … as a 3×3 wireless heterogeneous
network, the topology of which … with this challenge, an intelligent network traffic control method is …

… the dynamics of complex problems from interactions with the … to combine Q-Learning with
deep neural networks. RL is … With efficient traffic control the scenario is expected to result …

… of traffic management by minimizing the odds of traffic problems, by providing real-time …
have proposed different solutions to address specific problems concerning traffic management, …