With the increase of Internet users and the rapid development of various large traffic network
applications such as video and games, the network traffic load increases sharply, and …

In order to accurately predict short-term fluctuations in network traffic and improve the traffic
monitoring performance of the 95598 customer service hotline network, this article combines …

The identification of network traffic is now one of the most active study areas in the areas of
network management and network security. Machine learning is a key technology that is …

Abstract Network Traffic Prediction and analysis is one of the essential tasks for cellular
networks to reduce the network load. Moreover, traffic data are categorized as" Big Data" for …

This paper proposes a novel framework to predict traffic flows' bandwidth ahead of time.
Modern network management systems share a common issue: the network situation evolves …

Abstract Network Traffic Prediction and analysis is one of the essential tasks for cellular
networks to reduce the network load. Moreover, traffic data are categorized as “Big Data” for …

This paper compares four different artificial neural network approaches for computer network
traffic forecast, such as: 1) multilayer perceptron (MLP) using the backpropagation as …

Currently existing web traffic prediction models have the shortages of low accuracy, low
stability and slow training speed. Aiming at such problems, this paper proposes a new …

Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …