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Chemometric Strategies for Spectroscopy-Based Food Authentication
Chemometric Strategies for Spectroscopy-Based Food Authentication
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Chemometric Strategies for Spectroscopy-Based Food Authentication

Biancolillo, Alessandra ; Marini, Federico ; Ruckebusch, Cyril ; Vitale, Raffaele

Applied sciences, 2020-09, Vol.10 (18), p.6544 [Periódico revisado por pares]

Basel: MDPI AG

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Subset simulation with adaptable intermediate failure probability for robust reliability analysis: an unsupervised learning-based approach
Subset simulation with adaptable intermediate failure probability for robust reliability analysis: an unsupervised learning-based approach
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Subset simulation with adaptable intermediate failure probability for robust reliability analysis: an unsupervised learning-based approach

Zhao, Yinghao ; Wang, Zeyu

Structural and multidisciplinary optimization, 2022-06, Vol.65 (6), Article 172 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review
Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review
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Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review

Jiang, C. ; Zheng, J. ; Han, X.

Structural and multidisciplinary optimization, 2018-06, Vol.57 (6), p.2485-2502 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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14
A hybrid computing framework for risk‐oriented reliability analysis in dynamic PSA context: A case study
A hybrid computing framework for risk‐oriented reliability analysis in dynamic PSA context: A case study
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A hybrid computing framework for risk‐oriented reliability analysis in dynamic PSA context: A case study

Jiang, Chenyu ; He, Zhanyu ; Li, Fengjun ; Xie, Fei ; Zheng, Licheng ; Yang, Jun ; Yang, Ming

Quality and reliability engineering international, 2023-12, Vol.39 (8), p.3445-3471 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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15
The State-of-the-Art Methods for Digital Detection and Identification of Arcing Current Faults
The State-of-the-Art Methods for Digital Detection and Identification of Arcing Current Faults
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The State-of-the-Art Methods for Digital Detection and Identification of Arcing Current Faults

Saleh, Saleh A. ; Valdes, Marcelo E. ; Mardegan, Claudio Sergio ; Alsayid, Basim

IEEE transactions on industry applications, 2019-09, Vol.55 (5), p.4536-4550 [Periódico revisado por pares]

IEEE

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Reverse logistics network design for product recovery and remanufacturing
Reverse logistics network design for product recovery and remanufacturing
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Reverse logistics network design for product recovery and remanufacturing

Liao, Tsai-Yun

Applied Mathematical Modelling, 2018-08, Vol.60, p.145-163 [Periódico revisado por pares]

New York: Elsevier Inc

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17
A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic–vibration interaction problems
A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic–vibration interaction problems
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A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic–vibration interaction problems

Chen, Leilei ; Cheng, Ruhui ; Li, Shengze ; Lian, Haojie ; Zheng, Changjun ; Bordas, Stéphane P.A.

Computer methods in applied mechanics and engineering, 2022-04, Vol.393, p.114784, Article 114784 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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18
On accuracy improvement of microscopic stress/stress sensitivity analysis with the mesh superposition method for heterogeneous materials considering geometrical variation of inclusions
On accuracy improvement of microscopic stress/stress sensitivity analysis with the mesh superposition method for heterogeneous materials considering geometrical variation of inclusions
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On accuracy improvement of microscopic stress/stress sensitivity analysis with the mesh superposition method for heterogeneous materials considering geometrical variation of inclusions

Sakata, S. ; Chan, Y. ; Arai, Y.

International journal for numerical methods in engineering, 2020-02, Vol.121 (3), p.534-559 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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19
Spectral stochastic isogeometric analysis for linear stability analysis of plate
Spectral stochastic isogeometric analysis for linear stability analysis of plate
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Spectral stochastic isogeometric analysis for linear stability analysis of plate

Li, Keyan ; Wu, Di ; Gao, Wei

Computer methods in applied mechanics and engineering, 2019-08, Vol.352, p.1-31 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification
Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification
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Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification

Sahli Costabal, Francisco ; Matsuno, Kristen ; Yao, Jiang ; Perdikaris, Paris ; Kuhl, Ellen

Computer methods in applied mechanics and engineering, 2019-05, Vol.348, p.313-333 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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