Showing 1 - 20 results of 394 for search 'deadpan~', query time: 4.63s Refine Results
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    SAMPUL DEPAN by Marwati Marwati

    Published 2019-12-01
    “…Sampul Depan…”
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    SAMPUL DEPAN by marwati marwati

    Published 2017-12-01
    “…Sampul Depan…”
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    SAMPUL DEPAN by Marwati Marwati

    Published 2014-06-01
    “…SAMPUL DEPAN…”
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    SAMPUL DEPAN by Marwati Marwati

    Published 2021-12-01
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    Insider Trading with Memory under Random Deadline by Kai Xiao, Yonghui Zhou

    Published 2021-01-01
    “…In this paper, we study a model of continuous-time insider trading in which noise traders have some memories and the trading stops at a random deadline. By a filtering theory on fractional Brownian motion and the stochastic maximum principle, we obtain a necessary condition of the insider’s optimal strategy, an equation satisfied. …”
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    Development of a Method for Characterizing Joint Stiffness, Deadband, and Hysteresis by G.D. Ferney, S.L. Folkman

    Published 1995-01-01
    “…This article documents the development of a procedure for characterizing the stiffness, deadband, and hysteretic behavior of struts with pinned joints. …”
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    Deadline Aware Retransmission Threshold Setting Protocol in Cyber-Physical Systems by Ran Bi, Jianzhong Li, Hong Gao, Quan Chen

    Published 2015-09-01
    “…The method decreases the probability of a packet being transmitted through the delivery path within given deadline. In this paper, we focus on finding the optimal retransmission thresholds for the relay nodes, such that the summation of the probability of a packet being transmitted to the next relay node or destination node within the specified deadline is maximized. …”
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    Tracking Control Based on Recurrent Neural Networks for Nonlinear Systems with Multiple Inputs and Unknown Deadzone by J. Humberto Pérez-Cruz, José de Jesús Rubio, E. Ruiz-Velázquez, G. Solís-Perales

    Published 2012-01-01
    “…This paper deals with the problem of trajectory tracking for a broad class of uncertain nonlinear systems with multiple inputs each one subject to an unknown symmetric deadzone. On the basis of a model of the deadzone as a combination of a linear term and a disturbance-like term, a continuous-time recurrent neural network is directly employed in order to identify the uncertain dynamics. …”
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    Singularity-Free Neural Control for the Exponential Trajectory Tracking in Multiple-Input Uncertain Systems with Unknown Deadzone Nonlinearities by J. Humberto Pérez-Cruz, José de Jesús Rubio, Rodrigo Encinas, Ricardo Balcazar

    Published 2014-01-01
    “…The trajectory tracking for a class of uncertain nonlinear systems in which the number of possible states is equal to the number of inputs and each input is preceded by an unknown symmetric deadzone is considered. The unknown dynamics is identified by means of a continuous time recurrent neural network in which the control singularity is conveniently avoided by guaranteeing the invertibility of the coupling matrix. …”
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    Manajemen pendidikan anak usia dini: peluang dan tantangan masa depan by Alfin Julianto, Nina Kurniah, Muhammad Kristiawan, Eko Risdianto, Nelda Sari Siregar

    Published 2024-12-01
    “…Temuan tersebut memberikan kontribusi bahwa praktik manajemen PAUD yang dibutuhkan di masa depan harus memenuhi beberapa indikator, yaitu: perencanaan sistematis, kurikulum adaptif, organisasi yang merangsang kreativitas, implementasi kontekstual, pendekatan pengasuhan, penguatan pendidikan karakter, literasi digital, dan supervisi kolaboratif berkelanjutan.…”
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