Indirect modulation of human visual memory

Abstract Conditions in which memories become maladaptive have inspired extensive research geared to modulate memory by targeting it directly and explicitly.Given limitations of direct memory modulation, we asked the following: can the target memories be modulated indirectly? To address this question, we uniquely targeted visual memories, and levera

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Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory

Internet of Things (IoT) applications and resources are highly vulnerable to flood attacks, including Distributed Denial of Service (DDoS) attacks.These attacks overwhelm the targeted device with numerous network packets, making its resources inaccessible to authorized users.Such attacks may comprise attack references, attack types, sub-categories,

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