Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Neetu_Singh>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Sharma_Vaishali>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1007%2Fs11042-023-15724-z>
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dc:identifier	DBLP journals/mta/VaishaliN24 (xsd:string)
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dcterms:issued	2024 (xsd:gYear)
swrc:journal	<https://dblp.l3s.de/d2r/resource/journals/mta>
rdfs:label	Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model. (xsd:string)
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swrc:month	January (xsd:string)
swrc:number	4 (xsd:string)
swrc:pages	10839-10863 (xsd:string)
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rdfs:seeAlso	<https://doi.org/10.1007/s11042-023-15724-z>
dc:title	Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model. (xsd:string)
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