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    High-fidelity steganography in EEG signals using advanced transform-based methods by Enes Efe

    Published 2025-05-01
    “…The proposed approach aims to increase embedding capacity while maintaining signal integrity, ensuring resilience against various forms of distortion, and achieving computational efficiency. Experiments were conducted on three publicly available EEG datasets (Graz A, DEAP, and Bonn), and performance was evaluated using widely recognized metrics, including peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), percentage root mean square difference (PRD), normalized cross-correlation (NCC), bit error rate (BER), and Euclidean distance (ED). …”
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    Analysis of the fusion of multimodal sentiment perception and physiological signals in Chinese-English cross-cultural communication: Transformer approach incorporating self-attenti... by Xin Bi, Tian Zhang

    Published 2025-05-01
    “…This study provides a strong technical foundation for future advancements in multimodal emotion analysis and cross-cultural affective computing.…”
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