RIPE-KG · Version 1.1.0 · Resource

ripekg:retraction-notice/49555

https://w3id.org/ripe/ripe-kg/retraction-notice/49555
SubjectPredicateObject
ripekg:evaluation/RIPEA61C486302F135B42 prov:used ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model prism:doi 10.1155/2023/9786865
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model prism:publicationDate 2023-08-02
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model prism:publicationName Mobile Information Systems
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model dcterms:publisher ripekg:publisher/RIPEP170EADD0429B0D42Hindawi
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model dcterms:title Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model http://purl.org/spar/cito/retracts ripekg:work/10.1155%2F2022%2F7140594
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model rdf:type http://purl.org/spar/fabio/RetractionNotice
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ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model rdf:type ripe:IntegrityAssessmentEvidenceIntegrity assessment evidence
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model rdf:type ripe:RetractionNoticeRetraction notice
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model rdf:type tido:Evidence
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model rdf:type tido:PieceOfInformation
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model owl:sameAs https://semopenalex.org/work/W4385480672
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model prov:wasAttributedTo ripekg:source/retraction-watchRetraction Watch
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model prov:wasAttributedTo ripekg:source/retraction-watchRetraction Watch Database
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model prov:wasGeneratedBy ripekg:evidence-aggregation/RIPEA61C486302F135B42
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model prov:wasMemberOf ripekg:research-integrity-assessment/RIPEA61C486302F135B42
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model ripe:concerns ripekg:author/RIPEAU8059004FA92D7BA0Nannan Liang
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model ripe:concerns ripekg:work/10.1155%2F2022%2F7140594
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model ripe:rationale Concerns/Issues About Data;Concerns/Issues about Results and/or Conclusions;Concerns/Issues about Referencing/Attributions;Concerns/Issues with Peer Review;Investigation by Journal/Publisher;Investigation by Third Party;Computer-Aided Content or Computer-Generated Content;Unreliable Results and/or Conclusions
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model ripe:retractionWatchRecordId 49555
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model tido:supports ripekg:integrity-assessment-hypothesis/RIPEA61C486302F135B42-human-1-3
ripekg:retraction-notice/49555Adaptive Feature Analysis in Target Detection and Image Forensics Based on the Dual-Flow Layer CNN Model tido:supports ripekg:integrity-assessment-hypothesis/RIPEA61C486302F135B42-inspectai-1-3