Nowadays, various wind power forecasting methods have been developed to improve wind
power utilization. Most of these techniques are designed based on the mean square error …

Wind-speed forecasting plays an important role in the efficient utilization of wind energy.
However, accurate and stable forecasting of wind-speed series is challenging, considering …

In the multimedia system for Internet of Vehicles (IoVs), accurate traffic flow information
processing and feedback can give drivers guidance. In traditional information processing for …

Kernel recursive least squares (KRLS) is a kind of kernel methods, which has attracted wide
attention in the research of time series online prediction. It has low computational complexity …

Underwater acoustic (UWA) channel prediction technology, as an important topic in UWA
communication, has played an important role in UWA adaptive communication network and …

Urban crime is an ongoing problem in metropolitan development and attracts general
concern from the international community. As an effective means of defending urban safety …

The problem of distinguishing deterministic chaos from non-chaotic dynamics has been an
area of active research in time series analysis. Since noise contamination is unavoidable, it …

The maximum Versoria criterion algorithm (MVC) exhibits lower steady-state misalignment
and less complexity as compared to the maximum correntropy criterion (MCC) algorithm in …

State of charge (SOC) estimation plays a crucial role in battery management systems.
Among all the existing SOC estimation approaches, the model-driven extended Kalman filter …

Recently, online learning algorithms in machine learning have been imposed much
attention. As a typical family, kernel adaptive filtering algorithms receive particular interest …