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The aim of the article is application of entropy defined in combinatorics on words for finite words; entropy function will be applied for solving classification and clusterisation problems.
This paper proposes a new approach to improve the amount of information extracted from the speech aiming to increase the accuracy of a system developed for the automatic detection of pathological voices. The paper addresses the discrimination capabilities of 11 features extracted using nonlinear analysis of time series. Two of these features are based on conventional nonlinear statistics (largest...
In recent years, the demand for data centers has seen tremendous growth. Simultaneously, power densities have increased resulting in greater chances of thermal anomalies - situations where the temperature at a location exceeds the safety threshold for equipment placed there. In this paper, we explore some techniques for predicting such thermal anomalies so that preemptive steps can be taken to address...
In this study, we investigated auto mutual information (AMI), based on order patterns analysis, as a tool to evaluate the dynamical characteristics of electroencephalogram (EEG) during interictal, preictal and ictal phase, respectively. Permutation entropy quantifies regularity in time series, while AMI detects the mutual information (MI) between a time series and a delayed version of itself. The...
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