In order to improve identification accuracy of rolling bearings with nonlinear and
nonstationary vibration signals, a novel fault diagnosis method based on wavelet …

Accurate prediction of short-term electric load is critical for power system planning and
operation. However, integration of the point estimation into the power system is constrained …

Traditional classification systems rely heavily on sufficient training data with accurate labels.
However, the quality of the collected data depends on the labelers, among which …

The acetone can be regarded as one of the respiratory biomarkers for lung cancer, the
detection of acetone in human exhaled gas has great important for early lung cancer …

The state of charge (SOC) estimation of Li-ion batteries has attracted substantial interests in
recent years. Kalman Filter has been widely used in real-time battery SOC estimation …

As having the closed form solution, the least squares support vector machine (LSSVM) has
been widely used for classification and regression problems owing to its competitive …

Quantum principal component analysis (qPCA) is a dimensionality reduction algorithm for
getting the eigenvectors corresponding to top several eigenvalues of the data matrix and …

In recent years, least squares support vector machines (LSSVMs) with various kernel
functions have been widely used in the field of machine learning. However, the selection of …

In this paper, a fault diagnosis method that is based on the deep structure and the sparse
least squares support vector machine (SLSSVM) is proposed. This method constructs the …

Estimating sequences introduced by Nesterov is an efficient trick to accelerate gradient
descent (GD). The stochastic version of estimating sequences is also successfully used to …