Classification of Cardiac Arrhythmia Using Hybrid Technology of Fast Discrete Stockwell-Transform (FDST) and Self Organising Map

doi 10.20944/preprints201806.0321.v1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Glaucoma Image Classification Using Discrete Orthogonal Stockwell Transform

International Journal of Advances in Signal and Image Sciences
2017English

Cardiac Arrhythmia Classification by Wavelet Transform

International Journal of Advanced Research in Artificial Intelligence
2015English

Application of Spectrophores™ to Map Vendor Chemical Space Using Self-Organising Maps

Journal of Cheminformatics
Computer GraphicsInformation SciencesLibraryTheoretical ChemistryComputer Science ApplicationsComputer-Aided DesignPhysical
2011English

Development of Crime in England and Wales 1898–2001: Data Mining Using Self-Organising Map

2017English

Comparative Analysis of Fast Fourier Transform and Discrete Wavelet Transform Based MIMO-OFDM

International Journal on Communications Antenna and Propagation
Electronic EngineeringMedia TechnologySignal ProcessingComputer NetworksHardwareCommunicationsElectricalArchitecture
2017English

Characterization and Classification of Local Protein Surfaces Using Self-Organizing Map

International Journal of Knowledge Discovery in Bioinformatics
2010English

Fault Detection in the Activated Sludge Process Using the Kohonen Self-Organising Map

2018English

An Empirical Study of Neighbourhood Decay in Kohonen's Self Organising Map

English

Molecular Simulation With Discrete Fast Fourier Transform

2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy