With the arrival of 5G networks, cellular networks are moving in the direction of diversified,
broadband, integrated, and intelligent networks. At the same time, the popularity of various …

Anomaly detection for large scale cellular networks can be used by network operators to
optimize network performance and enhance mobile user experience. This paper aims at …

Sažetak Forecasting short-term traffic flow using historical data is a difficult goal to achieve
due to the randomness of the event. Due to the lack of a solid approach to short-term traffic …

Web traffic is vital to the success of any online company or website in the current era of
digital technology. Insightful marketing, web development, and resource allocation choices …

Long short-term memory networks (LSTM) produces promising results in the prediction of
traffic flows. However, LSTM needs large numbers of data to produce satisfactory results …

Accurate network traffic load (TL) prediction is essential in many networking applications.
However, the real TLs in practical networks may have high variability and are difficult to be …

Intelligent transport systems can work more efficiently with accurate and rapid prediction of
traffic flows. Therefore, researchers are trying different approaches to predict short-term …

Точное прогнозирование объема трафика компьютерных сетей (КС) как в
долгосрочном, так и краткосрочном периоде времени играет очень важную роль в …

Accurate prediction of the traffic volume of computer networks (CN) for both the long and
short term plays a crucial role in monitoring, as well as in the effective management of the …