Showing 2,001 - 2,020 results of 4,718 for search 'Rate and state function', query time: 0.19s Refine Results
  1. 2001
  2. 2002
  3. 2003

    New commercial behaviour as a reason of social and economic changes of divided towns on the Polish-German and Polish-Czech borders by Katarzyna Kulczyńska, Roman Matykowski, Elżbieta Bilska-Wodecka

    Published 2013-10-01
    “…Besides, despite the strong dividing /separating function of the border, some of the towns with border crossings started to expand towards the state border (e.g. …”
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  4. 2004
  5. 2005
  6. 2006
  7. 2007

    Characterization of venturi injector using dimensional analysis by Luiz R. Sobenko, José A. Frizzone, Antonio P. de Camargo, Ezequiel Saretta, Hermes S. da Rocha

    “…The objectives of this research were (1) to carry out functional tests of Venturi injectors following requirements stated by ISO 15873; and (2) to model the injection rate using dimensional analysis by the Buckingham Pi theorem. …”
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  8. 2008
  9. 2009
  10. 2010
  11. 2011

    The Neurospora photoreceptor VIVID exerts negative and positive control on light sensing to achieve adaptation by Elan Gin, Axel C R Diernfellner, Michael Brunner, Thomas Höfer

    Published 2013-05-01
    “…Our data indicate that this paradoxical function is realized by a futile cycle that involves the light‐induced sequestration of active WCC by VVD and the replenishment of the activatable WCC pool through the decay of the photoactivated state. …”
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  12. 2012
  13. 2013
  14. 2014
  15. 2015
  16. 2016

    The Monitoring of Structural Quality of Silicon-Sapphire Interface by the Surface Photovoltage Method by S. D. Fedotov, S. P. Timoshenkov, E. M. Sokolov, V. N. Statsenko

    Published 2017-10-01
    “…SOS device performances as function of SPV signal were determined. The leakage current of test pchannel MOS transistor in the closed state  was on 2-16 nA when SPV signal higher than 450 mV and the  leakage current was approximately 4 nA when SPV signal lower than 450 mV.…”
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  17. 2017

    Research on pose estimation algorithm of non-cooperative target tracked vehicles based on PnP model by Zhigang Ren, Xinagjun Tang, Guoquan Ren, Dinghai Wu

    Published 2025-03-01
    “…Notably, it achieves an improved computation rate while maintaining accuracy, thereby enabling real-time pose estimation. …”
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    Article
  18. 2018
  19. 2019

    Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D by Yijun WANG, Youxu ZHANG, Dakun LIU, Guifen CHEN

    Published 2021-04-01
    “…In ultra-dense D2D communication, the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding, but some rational relay devices may delay or refuse to forward due to their own considerations, thus affecting the user experience.From the perspective of selfish behavior of relay devices, a method to identify selfish relay devices in D2D communication was proposed, and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly, three relay identification attribute factors, namely joint interest degree (JID), forwarding history ratio (FHR) and relay physical state (RPS) were defined, and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly, based on the TOPSIS (technique for order of preference by similarity to ideal solution) method, the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms, the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate, system average throughput and average time delay.…”
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  20. 2020

    Training a Minesweeper Agent Using a Convolutional Neural Network by Wenbo Wang, Chengyou Lei

    Published 2025-02-01
    “…The Minesweeper game is modeled as a sequential decision-making task, for which a neural network architecture, state encoding, and reward function were herein designed. …”
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