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Artificial intelligence method for time series data mining - implementation on the human ECG signal

In this research, a new method (algorithm) of artificial intelligence for pattern recognition is proposed. The method is based on principles of human perception and it is a part of computer engineering domain, the field of artificial intelligence. Method is the result of perennial scientific research and development. The main implementation of the algorithm within the project is on the example o…

Ara fuq il-websajt tal-istituzzjoni fornitriċi (tiftaħ fit-tieqa l-ġdida)

Kontributuri

  • Čubrilo, Mirko

Kreatur

  • Velić, Marko

Pubblikatur

  • University of Zagreb. Faculty of Organization and Informatics Varaždin.

Suġġett

  • Machine Learning
  • Data Mining
  • ECG
  • QRS
  • Computer Vision
  • Pattern Recognition
  • Time Series
  • Artificial Intelligence
  • Computational Neuroscience
  • SOCIAL SCIENCES. Information and Communication Sciences. Information Systems and Information Science.
  • …

Tip ta' oġġett

  • info:eu-repo/semantics/doctoralThesis
  • text

Data

  • 2014-05-12
  • 2014-05-12

Kontributuri

  • Čubrilo, Mirko

Kreatur

  • Velić, Marko

Pubblikatur

  • University of Zagreb. Faculty of Organization and Informatics Varaždin.

Suġġett

  • Machine Learning
  • Data Mining
  • ECG
  • QRS
  • Computer Vision
  • Pattern Recognition
  • Time Series
  • Artificial Intelligence
  • Computational Neuroscience
  • SOCIAL SCIENCES. Information and Communication Sciences. Information Systems and Information Science.
  • …

Tip ta' oġġett

  • info:eu-repo/semantics/doctoralThesis
  • text

Data

  • 2014-05-12
  • 2014-05-12

Istituzzjoni fornitriċi

  • Faculty of Organization and Informatics, University of Zagreb

Aggregatur

  • National and University Library in Zagreb

Dikjarazzjoni tad-drittijiet tal-midja f'dan ir-rekord (sakemm mhux speċifikat mod ieħor)

  • http://rightsstatements.org/vocab/InC/1.0/

Identifikatur

  • https://dr.nsk.hr/islandora/object/foi:1966
  • https://urn.nsk.hr/urn:nbn:hr:211:684818
  • https://repozitorij.unizg.hr/islandora/object/foi:1966
  • https://dr.nsk.hr/islandora/object/foi%3A1966/datastream/TN/view/

Format

  • application/pdf

Lingwa

  • hrv

Pajjiż fornitur

  • Croatia

Isem il-kollezzjoni

  • 9200133_NL_S2_Zagreb

L-ewwel darba ppubblikata fuq Europeana

  • 2019-04-05T13:44:32.125Z

L-aħħar aġġornament mill-istituzzjoni fornitriċi

  • 2019-04-05T13:44:32.125Z
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