Accurate wind speed forecasting is beneficial to the management of the wind power system.
A hybrid WPD-DA-NAR wind speed forecasting model under moving window framework is …

When a high impedance fault (HIF) occurs in a distribution network, the detection efficiency
of traditional protection devices is strongly limited by the weak fault information. In this study …

Bruxism is known as the rhythmical clenching of the lower jaw (mandibular) by the
contraction of the masticatory muscles and parafunctional grinding of the teeth. It affects …

Underwater mines are considered a major threat to aquatic life, submarines, and naval
activities. Detecting and locating these mines is a challenging task, due to the nature of the …

The paper presents wavelet based fault detection method and the analysis of error rates.
The proposed method is based on signal representations in Daubechies wavelet bases. For …

Abstract The Bayesian network classifiers (BNCs) learned from labeled training data are
expected to generalize to fit unlabeled testing data based on the independent and …

红外与可见光图像融合在武器检测, 目标识别领域中扮演着重要角色, 而融合的关键是通过适当
方法从源图像中提取显著特征并将其组合生成融合图像, 因此提出了基于不可分小波与深度学习 …

This paper is concerned with digital inspection of normalized neutron pulses in the presence
of high counting rate. An approach including several digital signal processing algorithms is …

Bayesian network classifiers (BNCs) have demonstrated competitive classification accuracy
in a variety of real-world applications. However, it is error-prone for BNCs to discriminate …

The paper presents a feature extraction method for signal classification tasks. The proposed
method is based on linear adaptive Schur-like parametrization. The parametrization …