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    Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments by Zhihong Cui, Xiangwei Zheng, Xuexiao Shao, Lizhen Cui

    Published 2018-01-01
    “…Comparative analysis of performance suggests that the proposed method is better, as opposed to that of several state-of-the-art ones. The sleep stage classification methods based on CNN and the fine-grained segments really improve a key step in the study of sleep disorders and expedite sleep research.…”
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    Video completion in the presence of moving subjects based on segmentation using Neutrosophic sets by Amanna Ghanbari Talouki, Abbas Koochari, Seyyed Ahmad Edalatpanah

    Published 2025-03-01
    “…Experimental results demonstrate the effectiveness of the proposed methods, with improved visual quality and reduced inconsistencies compared to previous state-of-the-art methods. However, challenges remain in applying the method to highly detailed images with many classes and handling dynamic backgrounds.…”
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