Showing 41 - 60 results of 237 for search '"stochastic modeling"', query time: 0.07s Refine Results
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    Stochastic Modeling and Availability Optimization of Nuts Manufacturing Plant Using Markov Process and Particle Swarm Optimization by Naveen Kumar, Ashish Kumar, Deepak Sinwar, Monika Saini

    Published 2024-12-01
    “…The Markov birth death approach is applied to develop the stochastic model as well as Chapman-Kolmogorov differential difference equations of the system. …”
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    ROTI‐Based Stochastic Model to Improve GNSS Precise Point Positioning Under Severe Geomagnetic Storm Activity by Xiaomin Luo, Junfeng Du, João Francisco Galera Monico, Chao Xiong, Jingbin Liu, Xinmei Liang

    Published 2022-07-01
    “…At present, common stochastic models in GNSS PPP, such as the elevation angle stochastic (EAS) model or carrier‐to‐noise power‐density ratio (C/N0) based SIGMA‐ε model, do not properly consider storm effects on GNSS measurements. …”
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    Efficiently Modeling Lateral Vehicle Movement Including its Temporal Interrelations Using a Two-Level Stochastic Model by N. Neis, J. Beyerer

    Published 2024-01-01
    “…Within this work, we introduce a two-level stochastic model addressing the identified limitations. …”
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    A Stochastic Model of Stress Evolution in a Bolted Structure in the Presence of a Joint Elastic Piece: Modeling and Parameter Inference by Mohammed Haiek, Youness El Ansari, Nabil Ben Said Amrani, Driss Sarsri

    Published 2020-01-01
    “…In this paper, we propose a stochastic model to describe over time the evolution of stress in a bolted mechanical structure depending on different thicknesses of a joint elastic piece. …”
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    A novel numerical solution of nonlinear stochastic model for the propagation of malicious codes in Wireless Sensor Networks using a high order spectral collocation technique by Junjie Zhu, Misbah Ullah, Saif Ullah, Muhammad Bilal Riaz, Abdul Baseer Saqib, Atif M. Alamri, Salman A. AlQahtani

    Published 2025-01-01
    “…However, due to the inherent randomness and uncertainty present in WSNs, stochastic modeling approach is essential for a comprehensive understanding of the propagation of malicious codes in WSNs. …”
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