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Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Information-extreme Algorithm for Recognizing Current Distribution Maps in Magnetocardiography

Volume 43, Issue 2, 2011, pp. 63-70
DOI: 10.1615/JAutomatInfScien.v43.i2.60
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ABSTRACT

The paper in question deals with the invariant with respect to geometric deformations recognition algorithm of magnetocardiographic images in the framework of information-extreme intellectual technology based on maximization of the information capacity of recognition system in the process of its learning.

CITED BY
  1. Dovbysh A. S., Rudenko M. S., Information-Extreme Learning Algorithm for a System of Recognition of Morphological Images in Diagnosing Oncological Pathologies, Cybernetics and Systems Analysis, 50, 1, 2014. Crossref

  2. Chaikovsky I., Stadnyuk L., Verba A., Vasetskyi Yu., Budnyk M., Mjasnikov G., Kazmirchuk A., Lomakovskyi A., Value of Topology Approach to Diagnose of CAD Based on Magnetocardiographic Current Distribution Maps in Difficult-to-Diagnose Patients, World Journal of Cardiovascular Diseases, 06, 07, 2016. Crossref

  3. O.A. Shkuropat, I.V. Shelehov, M.A. Myronenko, Intelligence system of artificial vision for unmanned aerial vehicle, Artificial Intelligence, 25, 4, 2020. Crossref

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