| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C0002045> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C0032310> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C1615608> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C4704761> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C5244026> <https://research.tib.eu/covid-19/entity/34719476_HAS_TOPIC_C5392141>
?:authorAffiliation	[\'Doganhisar Vocational School, Selcuk University, Konya, Turkey.\', \'Department of Computer Engineering, Selcuk University, Konya, Turkey.\']
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Cinar_Ilkay> <https://research.tib.eu/covid-19/entity/Koklu_Murat> <https://research.tib.eu/covid-19/entity/Taspinar_Yavuz_Selim>
?:doi	10.3233/XST-211031
?:doi	<https://research.tib.eu/covid-19/entity/10.3233/XST-211031>
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article>
?:journal	Journal of X-ray science and technology
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34719476>
?:pmid	<https://research.tib.eu/covid-19/entity/34719476>
?:pmid	34719476
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	0.495
?:rankingScore_hIndex	27
?:title	Classification by a stacking model using CNN features for COVID-19 infection diagnosis.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2022

Metadata

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