The quantum internet is a cutting‐edge paradigm that uses the unique characteristics of
quantum technology to radically alter communication networks. This new network type is …

Traffic flow data (TFD) prediction is a hot research area in intelligent transportation system.
TFD is non-stationary and nonlinear, so it has become a challenge to predict it accurately. In …

Characteristic analysis of network traffic time series is very meaningful for network traffic
prediction. The dynamic behavior of network traffic time series is an external manifestation …

As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …

Accurate prediction of network traffic is an important premise in network management and
congestion control. In order to improve the prediction accuracy of network traffic, a prediction …

The intelligent transportation system (ITS) integrates a variety of advanced science and
technology to support and monitor road traffic systems and accelerate the urbanization …

Network traffic is a typical nonlinear time series. As such, traditional linear and nonlinear
models are inadequate to describe the multi-scale characteristics of traffic, thus …

As dissolved oxygen (DO) is an important indicator of water quality in aquaculture, an
accurate prediction for DO can effectively improve quantity and quality of product …

To reap the advantages of many continual growing cloud services, cloud industries should
adopt smart and holistic resources scheduling strategies. By deploying efficient deep …

Network has become an indispensable part of public life. To improve network utilization,
network performance, network quality, and enhance network security, precise prediction of …