GAN-VIT-CMFD: A NOVEL FRAMEWORK INTEGRATING GENERATIVE ADVERSARIAL NETWORKS AND VISION TRANSFORMERS FOR ENHANCED COPY-MOVE FORGERY DETECTION AND CLASSIFICATION WITH SPECTRAL CLUSTERING

GAN-ViT-CMFD: A novel framework integrating generative adversarial networks and vision transformers for enhanced copy-move forgery detection and classification with spectral clustering

Copy-move forgery detection (CMFD) is a critical task in digital forensics to ensure the authenticity of visual content, as the prevalence of advanced editing tools has made it increasingly easy to tamper with images.Such forgeries can have severe implications in fields like journalism, legal evidence, and cybersecurity.The motivation for adopting

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Genomic and Metagenomic Insights Into the Microbial Community in the Regenerating Intestine of the Sea Cucumber Apostichopus japonicus

Host-intestine microbiota interactions have been widely studied in aquatic animals, but these interactions in the intestine regeneration process of the sea cucumber Apostichopus japonicus have been rarely investigated.To understand how intestine regeneration impacts the developing intestinal microbiome composition and function, we SAFFRON 2020 perf

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OPTIMASI OLSR ROUTING PROTOCOL PADA JARINGAN WIRELESS MESH DENGAN ADAPTIVE REFRESHING TIME INTERVAL DAN ENHANCE MULTI POINT RELAY SELECTING ALGORITHM

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