Results 31 to 40 of about 155,579 (310)
Journal of Multivariate Analysis, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Healy, D., Hendriks, H.W.M., Kim, P.N.
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Prediction of extreme cargo ship panel stresses by using deconvolution
Frontiers in Mechanical Engineering, 2022 Extreme value predictions typically originate from certain functional classes of statistical distributions to fit the data and are subsequently extrapolated.
Oleg Gaidai, Ping Yan, Yihan Xing
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Research on deconvolution methods for thermal network of power devices
机车电传动, 2023 The structure function method is critical for obtaining Cauer thermal network models for power devices. However, in its deconvolution step, different calculation methods have a large impact on the results, which affects the accuracy of the thermal ...
DENG Erping +5 more
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Molecules, 2022 Gas chromatography/mass spectrometry (GC/MS) is a long-standing technique for the analysis of volatile organic compounds (VOCs). When coupled with the Ion Analytics software, GC/MS provides unmatched selectivity in the analysis of complex mixtures and it
Scott C. Frost +3 more
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Neural Blind Deconvolution Using Deep Priors [PDF]
Computer Vision and Pattern Recognition, 2019 Blind deconvolution is a classical yet challenging low-level vision problem with many real-world applications. Traditional maximum a posterior (MAP) based methods rely heavily on fixed and handcrafted priors that certainly are insufficient in ...
Dongwei Ren +4 more
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Frontiers in Neuroscience, 2017 Psychophysiological interaction (PPI) is a regression based method to study task modulated brain connectivity. Despite its popularity in functional MRI (fMRI) studies, its reliability and reproducibility have not been evaluated.
Xin Di, Bharat B. Biswal
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Evaluation and Interpretation of Transcriptome Data Underlying Heterogeneous Chronic Obstructive Pulmonary Disease [PDF]
Genomics & Informatics, 2019 Chronic obstructive pulmonary disease (COPD) is a type of progressive lung disease, featured by airflow obstruction. Recently, a comprehensive analysis of the transcriptome in lung tissue of COPD patients was performed, but the heterogeneity of the ...
Seokjin Ham, Yeon-Mok Oh, Tae-Young Roh
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Cell Reports, 2019 Summary The molecular characterization of immune subsets is important for designing effective strategies to understand and treat diseases. We characterized 29 immune cell types within the peripheral blood mononuclear cell (PBMC) fraction of healthy ...
G. Monaco +12 more
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Quantum Information Processing, 2017 We propose a method for stably removing noise from measurements of a quantum many-body system. The question is cast to a linear inverse problem by using a quantum Fischer information metric as figure of merit. This requires the ability to compute the adjoint of the noise channel with respect to the metric, which can be done analytically when the metric
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SPIE Proceedings, 2012 In this paper we present a new approach to deblur the effect of atmospheric turbulence in the case of long range imaging. Our method is based on an analytical formulation, the Fried kernel, of the atmosphere modulation transfer function (MTF) and a framelet based deconvolution algorithm.
Jérôme Gilles, Stanley J. Osher
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