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  1. 421

    Neural Linguistic Steganalysis via Multi-Head Self-Attention by Sai-Mei Jiao, Hai-feng Wang, Kun Zhang, Ya-qi Hu

    Published 2021-01-01
    “…In this paper, we introduced a neural linguistic steganalysis approach based on multi-head self-attention. …”
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  2. 422
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  4. 424

    Language-specific neural dynamics extend syntax into the time domain. by Cas W Coopmans, Helen de Hoop, Filiz Tezcan, Peter Hagoort, Andrea E Martin

    Published 2025-01-01
    “…Using temporal response function models with both acoustic and information-theoretic control predictors, node counts were regressed against source-reconstructed delta-band activity acquired with magnetoencephalography. Neural dynamics in left frontal and temporal regions most strongly reflect node counts derived by the top-down method, which postulates syntax early in time, suggesting that predictive structure building is an important component of Dutch sentence comprehension. …”
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  5. 425

    Absence of Rybp Compromises Neural Differentiation of Embryonic Stem Cells by Gergo Kovacs, Viktoria Szabo, Melinda K. Pirity

    Published 2016-01-01
    “…We have previously described that alteration of Rybp dosage in mouse models induced striking neural tube defects (NTDs), exencephaly, and disorganized neurocortex. …”
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  6. 426

    Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks by Chong Chen, Zhixia Ding

    Published 2019-01-01
    “…This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. …”
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  7. 427
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  9. 429

    Efficient Neural Network Modeling for Flight and Space Dynamics Simulation by Ayman Hamdy Kassem

    Published 2011-01-01
    “…This paper represents an efficient technique for neural network modeling of flight and space dynamics simulation. …”
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    Article
  10. 430

    Solar Energy Prediction for Malaysia Using Artificial Neural Networks by Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud

    Published 2012-01-01
    “…This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global and diffuse solar irradiations. …”
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  11. 431

    Determination of System Dimensionality from Observing Near-Normal Distributions by Shahid Razzaq, Shehzad Khalid

    Published 2015-01-01
    “…Such models give near normal distributions for each of its dimensions. Converse of this may also be true; that is, for a normal-like distribution of an observed variable, it is possible that the distribution is a result of uniform distribution of data points in a high dimensional ellipsoidal model, to which the observed variable belongs. …”
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  12. 432

    Deep Neural Network Model Forecasting for Financial and Economic Market by Fan Chen

    Published 2022-01-01
    “…In view of the Internet financial market dynamic (volume and daily trading), it is proposed based on a deep neural network for fusion level time series prediction model. …”
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  13. 433
  14. 434

    Wnt5a Signaling in Normal and Cancer Stem Cells by Yan Zhou, Thomas J. Kipps, Suping Zhang

    Published 2017-01-01
    “…Wnt5a signaling is critical for regulating normal developmental processes, including stem cell self-renewal, proliferation, differentiation, migration, adhesion, and polarity. …”
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  15. 435

    Ethical Implications in the Use of Embryonic and Adult Neural Stem Cells by Rodrigo Ramos-Zúñiga, Oscar González-Pérez, Ana Macías-Ornelas, Vivian Capilla-González, Alfredo Quiñones-Hinojosa

    Published 2012-01-01
    “…We have just started to get a glimpse of the structural and functional role of neural stem cells in differentiation and migration processes, the origin of synaptic networks, and subsequent readjustments in specific circuits. …”
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    Article
  16. 436

    Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification by Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu

    Published 2018-01-01
    “…In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle classification. …”
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    Article
  17. 437

    Comparative Analysis of Rhizosphere Fungal Communities in Korean Fir Trees by Young Min Ko, Geun-Hye Gang, Dae Ho Jung, Youn-Sig Kwak

    Published 2024-09-01
    “…Furthermore, the fungal community structure was more responsive to habitat type variations than seasonal changes. …”
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  18. 438

    Predicting species distributions in the open ocean with convolutional neural networks by Morand, Gaétan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien

    Published 2024-09-01
    “…In this study, we propose a new method that leverages deep learning, specifically convolutional neural networks (CNNs), to capture spatial features of environmental variables. …”
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  19. 439

    Synchronization of Chaotic Delayed Neural Networks via Impulsive Control by Yang Fang, Kang Yan, Kelin Li

    Published 2014-01-01
    “…This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ensuring the asymptotically synchronization for coupled chaotic delayed neural networks are derived. …”
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  20. 440

    Stability of Impulsive Neural Networks with Time-Varying and Distributed Delays by Qi Luo, Xinjie Miao, Qian Wei, Zhengxin Zhou

    Published 2013-01-01
    “…This work is devoted to investigating the stability of impulsive cellular neural networks with time-varying and distributed delays. …”
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    Article