We propose a new scheme for enlarging generalized learning vector quantization (GLVQ)
with weighting factors for the input dimensions. The factors allow an appropriate scaling of …

This paper is focused on fault diagnosis of ball bearings having localized defects (spalls) on
the various bearing components using wavelet-based feature extraction. The statistical …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

Media access control (MAC) address spoofing can result in the unauthorized use of network
resources. This paper demonstrates a novel approach, which incorporates radio frequency …

Handwriting Recognition Technology has been improving much under the purview of
pattern recognition and image processing since a few decades. This paper focuses on the …

Unauthorized Bluetooth devices or rogue devices can impersonate legitimate devices
through address and link key spoofing. Moreover, they can infiltrate a Bluetooth network and …

We study the application of self-organizing maps (SOMs) for the analyses of remote sensing
spectral images. Advanced airborne and satellite-based imaging spectrometers produce …

Time series averaging in dynamic time war** (DTW) spaces has been successfully
applied to improve pattern recognition systems. This article proposes and analyzes …

Spatiotemporal connectionist networks (STCNs) comprise an important class of neural
models that can deal with patterns distributed in both time and space. In this article, we …

How urbanization affects the distribution patterns of butterflies is still poorly known. Here we
investigated the structure and composition of butterfly assemblages along an urbanization …