The practice of predicting the traffic that is headed toward a specific website is known as
web traffic prediction. To govern a network, network traffic forecasting is crucial. Since clients …

The advancement of the sensing capabilities of end devices drives a variety of data-
intensive insights, yielding valuable information for modelling intelligent industrial …

One dimensional time series prediction is a major problem nowadays. These series can
describe physical phenomenon, traffic flow, economic transactions, etc. Anomaly detection …

This paper presents a systematic approach for solving complex prediction problems with a
focus on energy efficiency. The approach involves using neural networks, specifically …

As an important part of data management, network traffic evaluation and prediction can not
only find network anomalies but also judge the future trends of the network. To predict …

Traffic data prediction offers a significant way to evaluate the future traffic congestion status;
many deep learning based approaches have been widely applied in this field. Most current …

Accurate and real-time network traffic prediction is of paramount importance in the fields of
network management, performance optimization, and fault diagnosis. It provides strong …

Accurate delay estimation is one of the enablers of future network connectivity services, as it
facilitates the application layer to anticipate network performance. If such connectivity …

Recently, there has been an increasing need for new applications and services such as big
data, blockchains, vehicle-to-everything (V2X), the Internet of things, 5G, and beyond …

Network traffic can reflect the operating status and resource bottleneck of the entire network.
Accurate prediction of the future network is helpful in network maintenance, network …