Traffic flow prediction plays an important role in intelligent transportation system (ITS).
However, due to the randomness and complex periodicity of traffic flow data, traditional …

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

In this paper, an interval type-2 evolving fuzzy Kalman filter (IT2EFKF) is designed for
processing unobservable spectral components of uncertain experimental data. The primary …

Traffic state prediction provides key information for intelligent transportation systems (ITSs)
for proactive traffic management, the importance of which has become the reason for the …

Accurate on-road vehicle capacity degradation path prediction model is of great significance
to guide vehicle maintenance and performance optimization and ensure safety performance …

The marine meteorological sensor network (MMSN) is capable of monitoring large-scale
meteorological elements through the joint networking of multiple sensors, which is the …

In this paper, an optimized mixture kernels independent component analysis and echo state
network flame image recognition model is proposed. Firstly, in order to describe the flame …

In this paper, an interval type-2 evolving fuzzy Kalman filter is designed for processing of
unobservable spectral components of uncertain experimental data. The adopted …

Stochastic configuration networks (SCNs) employ a supervisory mechanism to assign
hidden-node parameters in the incremental construction process. SCNs offer the …

Traffic prediction is a fundamental topic in modern networks for performance analysis and
network planning. To this aim, modeling and optimization of modern heterogeneous network …