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    LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification by Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Ana Tajadura-Jimenez, Mahyar Shahsavari

    Published 2025-01-01
    “…Spiking neural networks (SNNs) present the potential for ultra-low-power computation, especially when implemented on dedicated neuromorphic hardware. …”
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  6. 24066

    Neural Network-Based Genetic Algorithm for Complex Circuit Design of High-Power Vacuum Electron Device by Dongyang Wang, Yonggang Che, Hongfei Yu, Yan Teng

    Published 2025-01-01
    “…Given that the advantageous gene patterns are retained and recombined during the iterations of genetic algorithm, a method for HPVED circuit modeling using process data from the genetic algorithm is designed. …”
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    The 3D tooth model segmentation method based on GAC+PointMLP network by Jianjun Chen, Liyuan Zheng, Huilai Zou, Jiafa Mao, Weiguo Sheng

    Published 2025-12-01
    “…Precise segmentation of individual teeth from digital three-dimensional (3D) tooth models is critical in computer-assisted orthodontic surgery. This study explores the application of Point Multi-Layer Perceptron (PointMLP) in processing 3D tooth models and introduces an innovative integration of the Graph Attentional Convolution (GAC) Layer with a graph attention mechanism. …”
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    EEG Emotion Recognition Using AttGraph: A Multi-Dimensional Attention-Based Dynamic Graph Convolutional Network by Shuai Zhang, Chengxi Chu, Xin Zhang, Xiu Zhang

    Published 2025-06-01
    “…However, the variety of EEG features presents significant challenges in identifying key features, reducing redundancy, and simplifying the computational process. Methods: To address these challenges, this paper proposes a multi-dimensional attention-based dynamic graph convolutional neural network (AttGraph) model. …”
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    Kunstgeschichte der digitalen Bilder by Maria Männig

    Published 2018-06-01
    “…This essay explores how medial innovations influence the perception of the past and characterise this process as a feedback phenomenon. …”
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