Results 41 to 50 of about 1,492,218 (202)
Rotating machinery is essential in modern industry. A robust noise-resistant method is proposed to improve diagnostic accuracy under intense noise conditions.
Junyu Ren, Soo Siang Teoh
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Coherence resonance in a noise-driven gene network regulated by small RNA
Small RNA has recently drawn more and more attention. In this paper, we concentrate on the influence of noises on gene network regulated by small RNA using chemical Langevin equation.
Yanan Zhu, Jianwei Shen, Yong Xu
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Robust features for textures in additive noise [PDF]
The paper describes a method for texture classification in noise by using third-order cumulants as discriminating features. The problem is formulated as a test on K hypotheses and solved by a Maximum Likelihood (ML) criterium applied in the third-order cumulant domain.
Cinthya Ottonello +2 more
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Abstract We consider the deterministic and stochastic versions of a first order non-autonomous differential equation which allows us to discuss the persistence of rivers (“fleuves”) under additive noise.
Scheutzow, Michael, Grinfeld, Michael
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Cauchy Problem for Stochastic Nonlinear Schrödinger Equation with Nonlinear Energy-Critical Damping
We consider the Cauchy problem for the stochastic nonlinear Schrödinger equation augmented by nonlinear energy-critical damping term arising in nonlinear optics and quantum field theory.
Lijun Miao, Linlin Qiu
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This paper deals with the asymptotic behavior of solutions to non-autonomous, fractional, stochastic p-Laplacian equations driven by additive white noise and random terms defined on the unbounded domain ℝN.
Renhai Wang, Bixiang Wang
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Nowadays, there is a clear trend toward increasing the number of remote-sensing images acquired and their average size. This leads to the need to compress the images for storage, dissemination, and transfer over communication lines where lossy ...
Bogdan Kovalenko +2 more
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Beautiful and functional : a review of biomimetic design in additive manufacturing [PDF]
: This review article summarizes the current state-of-the-art for biomimicry in additive manufacturing. Biomimicry is the practice of learning from and emulating nature - which can be increasingly realized in engineering applications due to progress in ...
Broeckhoven, Chris +7 more
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Background Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normalization methods rely on the premise that most genes in compared samples are ...
Tang Yuhong +3 more
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Representing Microphysical Uncertainty in Convective‐Scale Data Assimilation Using Additive Noise
For convective clouds and precipitation, model uncertainty in cloud microphysics is considered one of the most significant sources of model error. In this study, samples for model microphysical uncertainty are obtained by calculating the differences ...
Yuxuan Feng +4 more
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