Recently, the rapid development of deep learning has greatly improved the performance of
image classification. However, a central problem in hyperspectral image (HSI) classification …

This article classifies the dynamic response of rolling bearings in terms of radial internal
clearance values. The value of the radial internal clearance in rolling-element bearings …

During the long and high-intensity railway use, all kinds of defects emerge, which often
produce light to moderate damage on the surface, which adversely affects the stable …

Sensor-based human activity recognition (HAR) has been an active research area, owing to
its applications in smart environments, assisted living, fitness, healthcare, etc. Recently …

This paper proposes a spectral clustering method using k-means and weighted
Mahalanobis distance (Referred to as MDLSC) to enhance the degree of correlation …

Seniors face many challenges as they age, such as dementia, cognitive and memory
disorders, vision and hearing impairment, among others. Although most of them would like …

To denoise acoustic emission (AE) pipeline signals and improve the accuracy of
nondestructive pipeline leak identification, this article proposes a new denoising method …

Aim: Machine learning (ML) and deep learning (DL) predictive models have been employed
widely in clinical settings. Their potential support and aid to the clinician of providing an …

For the shortcomings of an unstable clustering effect and low accuracy caused by the
manual setting of the two parameters Eps and MinPts of the DBSCAN (density-based spatial …

The most vital challenge in seismic signal processing is the attenuation of random noise in
seismic data. Many attenuation methods are formulated to mitigate the random noise but fail …