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  1. 421

    Reduced Complexity Iterative Decoding of 3D-Product Block Codes Based on Genetic Algorithms by Abdeslam Ahmadi, Faissal El Bouanani, Hussain Ben-Azza, Youssef Benghabrit

    Published 2012-01-01
    “…Two iterative decoding algorithms of 3D-product block codes (3D-PBC) based on genetic algorithms (GAs) are presented. …”
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    Glena bipennaria bipennaria and Apatelodes pandara (Lepidoptera): new defoliating insects associated with Khaya in Brazil by Luana de Souza Covre, Robert A. Haack, Carlos Alberto Hector Flechtmann

    Published 2025-02-01
    “…Glena b. bipennaria was the dominant defoliator in all stands, with A. pandara only found in K. senegalensis stands. …”
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    Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning by Fanyu Zeng, Xi Cai, Shuzhi Sam Ge

    Published 2020-01-01
    “…Wall defect detection is an important function for autonomous decoration robots. Object detection methods based on deep neural networks require a large number of images with the handcrafted bounding box for training. …”
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  6. 426

    La notion d’appareil chez Jean-Louis Déotte et le dispositif foucaldien by Denis Skopin

    Published 2020-12-01
    “…Cet article aborde les différences et les proximités de deux concepts, ceux de l’appareil chez Jean-Louis Déotte et du dispositif chez Foucault.La notion déottienne d’appareil s’inscrit dans une série de concepts philosophiques (Gestell, machine, prothèse, outil...) qui servent à décrire les différents aspects de la technique moderne et plus largement à penser la place occupée par les objets techniques dans nos sociétés. …”
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    LDPC-coded unitary space-time modulation with low-complexity iterative demodulate-decoding scheme by Li-jiao WANG, Lin ZHANG, Ling-ling YANG, Li PENG, Da-wei FU

    Published 2014-02-01
    “…At the receiver, the maximum a posteriori probability (MAP) de-modulating algorithm of the SC-USTM was first designed; for reducing the complexity of MAP demodulator, the dual demodulator was then conceived; for improving the performance, the iterative feedback between the belief propagation (BP) decoder and the MPA demodulator was finally introduced. …”
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    FBATCNet: A Temporal Convolutional Network With Frequency Band Attention for Decoding Motor Imagery EEG by Shuaishuai Ma, Jidong Lv, Wenjie Li, Yan Liu, Ling Zou, Yakang Dai

    Published 2025-01-01
    “…In addition, compared to decoding MI-EEG signals from different limbs, decoding MI-EEG signals from same limb faces more challenges. …”
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  15. 435

    Prior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding by Hongbao Li, Yaoyao Hao, Shaomin Zhang, Yiwen Wang, Weidong Chen, Xiaoxiang Zheng

    Published 2017-01-01
    “…Previous studies have demonstrated that target direction information presented by the dorsal premotor cortex (PMd) during movement planning could be incorporated into neural decoder for achieving better decoding performance. …”
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    Surface electromyography evaluation for decoding hand motor intent in children with congenital upper limb deficiency by Marcus A. Battraw, Justin Fitzgerald, Eden J. Winslow, Michelle A. James, Anita M. Bagley, Wilsaan M. Joiner, Jonathon S. Schofield

    Published 2024-12-01
    “…Five classification algorithms were used to decode motor intent, tuned with features from the time, frequency, and time–frequency domains. …”
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