Microwave stroke detection and classification using different methods from MATLAB's classification learner toolbox
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F19%3A00334943" target="_blank" >RIV/68407700:21460/19:00334943 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Microwave stroke detection and classification using different methods from MATLAB's classification learner toolbox
Original language description
In this work, performance of 5 different supervised learning algorithms from MATLAB Classification learner toolbox for microwave stroke detection and classification was tested and the suitability of the algorithms were compared. For this purpose, training and test data were obtained using a 2D microwave imaging system and reconfigurable head phantom.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of European Microwave Conference in Central Europe, EuMCE 2019
ISBN
9782874870675
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
500-503
Publisher name
European Microwave Association (EuMA)
Place of publication
Louvain-la-Neuve
Event location
Praha
Event date
May 13, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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