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Complex-valued neural network using magnitude encoding technique for real-valued classification problems & time series prediction

Author:
Morshed, S. , Ahmed, N.U. , Shahjahan, M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/WIO.2014.6933274
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/983012
Keyword(s): biomedical imaging,data visualisation,medical computing,three-dimensional displays,biomedicine,healthcare,three dimensional displays,three dimensional imaging,three dimensional visualization,Holography,Microscopy,Photonics,Three-dimensional displays,Visualization,3D displays,3D imaging,automated object recognition,digital holography,healthcare applications,low light level imaging,photon counting
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    Complex-valued neural network using magnitude encoding technique for real-valued classification problems & time series prediction

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contributor authorMorshed, S. , Ahmed, N.U. , Shahjahan, M.
date accessioned2020-03-12T19:35:42Z
date available2020-03-12T19:35:42Z
date issued2014
identifier other6777890.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/983012?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleComplex-valued neural network using magnitude encoding technique for real-valued classification problems & time series prediction
typeConference Paper
contenttypeMetadata Only
identifier padid8098280
subject keywordsbiomedical imaging
subject keywordsdata visualisation
subject keywordsmedical computing
subject keywordsthree-dimensional displays
subject keywordsbiomedicine
subject keywordshealthcare
subject keywordsthree dimensional displays
subject keywordsthree dimensional imaging
subject keywordsthree dimensional visualization
subject keywordsHolography
subject keywordsMicroscopy
subject keywordsPhotonics
subject keywordsThree-dimensional displays
subject keywordsVisualization
subject keywords3D displays
subject keywords3D imaging
subject keywordsautomated object recognition
subject keywordsdigital holography
subject keywordshealthcare applications
subject keywordslow light level imaging
subject keywordsphoton counting
identifier doi10.1109/WIO.2014.6933274
journal titlelectrical Information and Communication Technology (EICT), 2013 International Conference on
filesize301268
citations0
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