INTUITIVE THINKING PREDICTS FALSE MEMORY FORMATION DUE TO A DECREASE IN INHIBITORY EFFICIENCY



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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Selection-Mutation Dynamics of Signaling Games

We study the structure of the rest points of signaling games and their dynamic behavior under selection-mutation dynamics by taking the case of three signals as our canonical example.Many rest points of the replicator dynamics of signaling games are not isolated and, therefore, not robust under perturbations.However, some of them attract open sets

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