The paper introduces an efficient construction algorithm for obtaining sparse linear-in-the-
weights regression models based on an approach of directly optimizing model …

Electroencephalography (EEG)-based driving fatigue detection has gained increasing
attention recently due to the non-invasive, low-cost, and potable nature of the EEG …

Many kernel classifier construction algorithms adopt classification accuracy as performance
metrics in model evaluation. Moreover, equal weighting is often applied to each data sample …

Accurate information about the ground state of (H20) 2'is available from the molecular beam
electric resonance (MBER) work of Dyke et~. 2 The microwave and radiofrequency …

Model structure selection plays a key role in non-linear system identification. The first step in
non-linear system identification is to determine which model terms should be included in the …

The note proposes an efficient nonlinear identification algorithm by combining a locally
regularized orthogonal least squares (LROLS) model selection with a D-optimality …

A mechanistic approach for fatigue crack growth prediction in GLARE laminates is
presented. Three-dimensional finite element models are used to obtain the mode I stress …

An orthogonal least squares technique for basis hunting (OLS-BH) is proposed to construct
sparse radial basis function (RBF) models for NARX-type nonlinear systems. Unlike most of …

A new computer‐aided diagnosis (CAD) system for detecting malignant melanoma from
dermoscopy images based on a fixed grid wavelet network (FGWN) is proposed. This novel …

Pitch bearings are key components for the pitch system of wind turbines, and their reliability
is closely associated with normal operation of wind turbines. In this paper, to solve the low …