Showing 1,841 - 1,860 results of 26,283 for search 'Nurgal~', query time: 5.53s Refine Results
  1. 1841

    Neural Network Based Adaptive Backstepping Control for Electro-Hydraulic Servo System Position Tracking by Zhenshuai Wan, Longwang Yue, Yu Fu

    Published 2022-01-01
    “…To cope with this issue, an adaptive backstepping controller based on neural network (NN) is proposed in this paper. A radial-basis-function neural network (RBF NN) is constructed to approximate the lumped uncertainties caused by modeling uncertainties and external disturbances, where the adaptive law is adopted to adjust controller parameters online. …”
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    Article
  2. 1842
  3. 1843

    Mean Square Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Unbounded Distributed Delays by Chuangxia Huang, Lehua Huang, Yigang He

    Published 2010-01-01
    “…This paper addresses the issue of mean square exponential stability of stochastic Cohen-Grossberg neural networks (SCGNN), whose state variables are described by stochastic nonlinear integrodifferential equations. …”
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    Article
  4. 1844
  5. 1845

    Global Robust Exponential Synchronization of Multiple Uncertain Neural Networks Subject to Event-Triggered Strategy by Jin-E Zhang, Huan Liu

    Published 2019-01-01
    “…This paper proposes the event-triggered strategy (ETS) for multiple neural networks (NNs) with parameter uncertainty and time delay. …”
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    Article
  6. 1846

    Specific Changes of Chromatin Structure in Nuclei of Normal Epithelium Adjacent to Laryngeal Squamous Cell Carcinoma by Thomas Dreyer, Iris Knoblauch, David Garner, Alexei Doudkine, Calum MacAulay, Branko Palcic, Christian Popella

    Published 2000-01-01
    “…The aim of this study was to confirm the existence of specific nuclear texture feature alterations of histologically normal epithelial borders nearby invasive laryngeal cancer (NC).…”
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    Article
  7. 1847
  8. 1848

    An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants by Ying-Chung Wang, Chiang-Ju Chien

    Published 2012-01-01
    “…We present a design method for iterative learning control system by using an output recurrent neural network (ORNN). Two ORNNs are employed to design the learning control structure. …”
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    Article
  9. 1849
  10. 1850

    Differential Stress Responses to Rice Blast Fungal Infection Associated with the Vegetative Growth Phase in Rice by Takuma Koyama, Takumi Tezuka, Atsushi J. Nagano, Jiro Murakami, Takanori Yoshikawa

    Published 2025-01-01
    “…The results indicate differential infection progression and fungal status depending on growth stage. Transcriptome analysis following blast fungus infection revealed that several genes involved in the defense response were upregulated in both the juvenile and intermediate stage, but the expression changes of many genes were growth phase-specific. …”
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  11. 1851
  12. 1852

    Early changes in microRNA expression in Arabidopsis plants infected with the fungal pathogen Fusarium graminearum. by Savio S Ferreira, Suman Pandey, Jesseca Hemminger, Serdar Bozdag, Mauricio S Antunes

    Published 2025-01-01
    “…The ascomycete Fusarium graminearum is an important fungal pathogen that causes significant losses in cereal crops worldwide. …”
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    Article
  13. 1853

    State-of-Charge Estimation of Lithium-Ion Battery Pack Based on Improved RBF Neural Networks by Li Zhang, Min Zheng, Dajun Du, Yihuan Li, Minrui Fei, Yuanjun Guo, Kang Li

    Published 2020-01-01
    “…This paper proposes a compact radial basis function (RBF) neural model to estimate the state-of-charge (SOC) of lithium battery packs. …”
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  14. 1854

    Genetic potential of quality in spring bread wheat cultivars bred at Kurgan agricultural research institute by A. I. Abugalieva, L. T. Maltsevа, E. A. Filippova, A. I. Morgunov, Y. I. Zelensky, J. Peña

    Published 2019-06-01
    “…Background. For the Trans-Urals, characterized by unstable climate over the years (alternating droughty and excessively moist years, recurrences of colds in spring, possibility of early frosts, etc.), grain quality is a prioritized genetic trait in spring bread wheat cultivars. …”
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  15. 1855

    Sparse-view Material Decomposition for Spectral X-ray CT using Neural Radiance Fields by Takumi Hotta, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki

    Published 2025-02-01
    “…In this study, we demonstrate the effectiveness of recent neural radiance fields (NeRF) for material decomposition tasks using spectral X-ray CT in sparse-view reconstruction scenarios. …”
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  16. 1856

    Adipose Stem Cell-Based Clinical Strategy for Neural Regeneration: A Review of Current Opinion by Yu-hao Wang, Yu-chen Guo, Dian-ri Wang, Ji-yuan Liu, Jian Pan

    Published 2019-01-01
    “…The disconnection between damaged neural fibers and muscles will result in muscle atrophy in a few weeks if no treatment is applied. …”
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  17. 1857

    Effects of Changes in Osmolarity on the Biological Activity of Human Normal Nucleus Pulposus Mesenchymal Stem Cells by Hua Zhang, Wei Li, YaoHong Wu, Shengquan Zhang, Jie Li, Letian Han, Haoyu Chen, Ziyu Wang, Cailiang Shen, Yinshun Zhang, Hui Tao

    Published 2022-01-01
    “…In this study, we observed the effect of different osmolarities on the biological characteristics of human normal NPMSCs cultured in vitro and explored the role of osmolarity in intervertebral disc degeneration. …”
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  18. 1858

    Direct‐Print 3D Electrodes for Large‐Scale, High‐Density, and Customizable Neural Interfaces by Pingyu Wang, Eric G. Wu, Hasan Uluşan, Eric Tianjiao Zhao, A.J. Phillips, Alexandra Kling, Madeline Rose Hays, Praful Krishna Vasireddy, Sasidhar Madugula, Ramandeep Vilkhu, Andreas Hierlemann, Guosong Hong, E.J. Chichilnisky, Nicholas A. Melosh

    Published 2025-01-01
    “…Abstract Silicon‐based microelectronics can scalably record and modulate neural activity at high spatiotemporal resolution, but their planar form factor poses challenges in targeting 3D neural structures. …”
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  19. 1859

    Initiating the Effective Unification of Black Hole Horizon Area and Entropy Quantization with Quasi-Normal Modes by C. Corda, S. H. Hendi, R. Katebi, N. O. Schmidt

    Published 2014-01-01
    “…Moreover, the results are significant because quasi-normal modes (QNM) and “effective states” characterize the transitions between the established levels of the nonstrictly thermal spectrum.…”
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  20. 1860

    Normal Form for High-Dimensional Nonlinear System and Its Application to a Viscoelastic Moving Belt by S. P. Chen, Y. H. Qian

    Published 2014-01-01
    “…This paper is concerned with the computation of the normal form and its application to a viscoelastic moving belt. …”
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