Abstract: Malware classification is a critical part in the cyber-security. Traditional methodologies for the malware classification typically use static analysis and dynamic analysis to identify ...
Abstract: Real-world facial expression recognition (FER) remains challenged by sensitivity to illumination changes and pose variations. To address this, we propose MD-LBP-MSNet, a novel framework ...
"""CL1 Experiment v3 — Extended Learning + Persistent Decoder + Dose-Response. Building on v2's confirmed results (SRC d=1.79, C-Score d=3.99), this experiment tests whether the Bio-LLM system LEARNS ...
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