Results 11 to 20 of about 21,260,567 (325)
ANALYSIS OF STOCHASTIC PROCESS TO MODEL SAFETY RISK IN CONSTRUCTION INDUSTRY
, 2021 There are many factors leading to construction safety accident. The rule presented under the influence of these factors should be a statistical random rule.
Zhenhao Zhang, Wenbiao Li, Jianyu Yang
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Spatial stochastic Process and estimation of variogram Function [PDF]
مجلة التربية والعلم, 2008 As it is known the process encounter the researchers who are working in spatial statistics, in mining fields about ores, ground water, and agriculture and engineering sciences and ecology.
Mohammed Ismaeel, Nibal Sabah
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Energies, 2023 Constructing a renewable energy-based power system has become an important development path for the power industry’s low-carbon transformation. However, as the proportion of renewable energy generation (REG) increases, the power grid gradually changes to
Jie Zhu +7 more
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Stochastic processes in gravitropism [PDF]
Frontiers in Plant Science, 2014 In this short review we focus on the role of noise in gravitropism of plants - the reorientation of plants according to the direction of gravity. We briefly introduce the conventional picture of static gravisensing in cells specialized in sensing.
Meroz, Yasmine, Bastien, Renaud
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Design Wave Height Parameter Estimation Model Reflecting the Influence of Typhoon Time and Space
Journal of Marine Science and Engineering, 2021 Typhoon storm surge disasters are one of the main restrictive factors of sustainable development in coastal areas. They are one of several important tasks in disaster prevention and reduction in coastal areas and require reasonable and accurate ...
Guilin Liu +6 more
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RobustGaSP: Robust Gaussian Stochastic Process Emulation in R [PDF]
The R Journal, 2018 Gaussian stochastic process (GaSP) emulation is a powerful tool for approximating computationally intensive computer models. However, estimation of parameters in the GaSP emulator is a challenging task.
Mengyang Gu, J. Palomo, J. Berger
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Robust Gaussian stochastic process emulation [PDF]
Annals of Statistics, 2017 We consider estimation of the parameters of a Gaussian Stochastic Process (GaSP), in the context of emulation (approximation) of computer models for which the outcomes are real-valued scalars.
Mengyang Gu, Xiaojing Wang, J. Berger
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Frontiers in Computational Neuroscience, 2023 The self-organization of the brain matrix of serotonergic axons (fibers) remains an unsolved problem in neuroscience. The regional densities of this matrix have major implications for neuroplasticity, tissue regeneration, and the understanding of mental ...
Skirmantas Janušonis +4 more
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A new view of axon growth and guidance grounded in the stochastic dynamics of actin networks
Open Biology, 2023 The mechanism of axon growth and guidance is a core, unsolved problem in neuroscience and cell biology. For nearly three decades, our view of this process has largely been based on deterministic models of motility derived from studies of neurons cultured
Rameen Forghani +3 more
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Modeling Long-Range Dynamic Correlations of Words in Written Texts with Hawkes Processes
Entropy, 2022 It has been clarified that words in written texts are classified into two groups called Type-I and Type-II words. The Type-I words are words that exhibit long-range dynamic correlations in written texts while the Type-II words do not show any type of ...
Hiroshi Ogura +3 more
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