Broken rotor bars in induction motors can be detected by monitoring any abnormality of the spectrum amplitudes at certain frequencies in the motor current spectrum. Broken rotor bar fault detection schemes should rely on multiple signatures in order to overcome or reduce the effect of any misinterpretation of the signatures that are obscured by factors such as measurement noises and different l...

The aim of this article is to use multiple discriminant analysis (MDA) and logit models assess the risk bankruptcy companies in Polish tourism sector crisis conditions caused by COVID-19 pandemic. A review literature used select appropriate analyze enterprises listed on Warsaw Stock Exchange (WSE). data are from half-year financial statements (the first half 2019 2020, respectively). obtained r...

Multivariate Discriminant Analysis (MDA) has long been used to classify failing and non-failing firms with high accuracy rates, although a number of methodological flaws are well known. The alternative approach based on Conditional Probability Analysis (CPA) models have been applied to forecast mergers and acquisitions and extended to the prediction of corporate failure. This is used her to dis...

The work presented in this paper employs multiscale subspace grids for pattern recognition applications. The proposed approach addresses the curse of dimensionality problem often associated with this task. The paper uses a multi-scale approach where coarse scale, being stable and generic in nature, suits well for small sample sizes, and fine scales, being more specialized in nature, enhance cla...

Metric learning aims at finding a distance that approximates a task-specific notion of semantic similarity. Typically, a Mahalanobis distance is learned from pairs of data labeled as being semantically similar or not. In this paper, we learn such metrics in a weakly supervised setting where “bags” of instances are labeled with “bags” of labels. We formulate the problem as a multiple instance le...

conclusions the levels of hemoglobin can be used to predict preeclampsia and monitoring the pregnant women and its regular measure in 3 trimesters help us to identify women at risk for preeclampsia. background preeclampsia is one of the most serious complications during pregnancy with important effects on health of mother and fetus that causes maternal and fetal morbidity and mortality. this st...

Reliable detection of counterfeit electronic, electrical, and electromechanical devices within critical information communications technology systems ensures that operational integrity resiliency are maintained. Counterfeit extends the device’s service life spans manufacture pre-installation to removal disposition activity. This is addressed here using Distinct Native Attribute (DNA) fingerprin...

Eurotia ceratoides (L.) C. A. Mey is an important plant species in semi-arid landsin Iran. New approaches are required to determine the distribution of this plant species. Forthis reason, geographical distributions of Eurotia ceratoides were assessed using threedifferent models including: Multiple Discriminant Analysis (MDA), Ecological Niche FactorAnalysis (ENFA) and Logistic Regression (LR). ...