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An inverse problem via cross-entropy method for calibration of a drill string torsional dynamic model

• Authors : Dantas, Eber; Cunha Jr, Americo; Soeiro, Francisco ...

Subjects: drillstring dynamics; inverse problem; nonlinear dynamicsUberlândia; Brazil

• Source: 25th ABCM International Congress on Mechanical Engineering (COBEM 2019)https://hal.science/hal-0238846325th ABCM International Congress on Mechanical Engineering (COBEM 2019), Oct 2019,

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A CONVOLUTIONAL MODEL FOR ESTIMATING THE JUNCTION TEMPERATURES OF SIC MOSFET TRANSISTORS

• Authors : El Arabi, Ali; Maillet, Denis; Blet, Nicolas ...

Subjects: Junction temperature Temperature estimation Inverse problem heat conduction numerical simulation; Junction temperature; Temperature estimationBuzios - Rio de Janeiro; Brazil

• Source: ICIPE 2024 ; https://hal.science/hal-04629861 ; ICIPE 2024, Jun 2024, Buzios - Rio de Janeiro, Brazil

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A data-driven approach for inference of the evolution equation of a Duffing oscillator

• Authors : Matos, Diego; Cunha Jr, Americo; Universidade do Estado do Rio de Janeiro Brasil = Rio de Janeiro State University Brazil = Université d'État de Rio de Janeiro Brésil (UERJ)

Subjects: Duffing oscillator; machine learning; inverse problemCuritiba; Brazil

• Source: 15th International Conference on Vibration Engineering and Technology of Machinery (VETOMAC 2019)https://hal.science/hal-0238846915th International Conference on Vibration Engineering and

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Identification of a random elastic medium by vibration tests

• Authors : Desceliers, Christophe; Soize, Christian;

Subjects: uncertainty quantification; polynomial chaos; random fieldsOuro Preto; MG; BrazilOuro Preto, MG, Brazil

• Source: Proceedings of the 18th International Congress of Mechanical Engineering, COBEM 2005 ; 18th International Congress of Mechanical Engineering, COBEM 2005 ; https://hal.science/hal-00689052 ; 18th

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Stochastic modeling of uncertainties in computational dynamics and applications

• Authors : Soize, Christian;

Subjects: uncertaintiy quantification; computational dynamics; nonparametric probabilistic methodPetropolis; RJ; Brazil

• Source: Proceedings of the 2nd LNCC Meeting, 2006. ; 2nd LNCC Meeting on Computational Modelling ; https://hal.science/hal-00689703 ; 2nd LNCC Meeting on Computational Modelling, Aug 2006, Petropolis, RJ,

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Evaluation of dispersion parameters for River São Pedro, Brazil, by the simulated annealing method.

• Authors : Rodrigues, PedroPaulo Gomes Watts¹ (AUTHOR) ; González, YoelMartínez¹ (AUTHOR); de Sousa, EdsonPereira¹ (AUTHOR)

• Source: Inverse Problems in Science & Engineering. Jan2013, Vol. 21 Issue 1, p34-51. 18p.

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Function estimation and regularization in the SIRD model applied to the COVID-19 pandemics.

• Authors : Pacheco, C. C.¹ (AUTHOR) ; de Lacerda, C. R.² (AUTHOR)

• Source: Inverse Problems in Science & Engineering. Nov 2021, Vol. 29 Issue 11, p1613-1628. 16p.

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AEMIP robust inversion using maximum phase angle Cole–Cole model re-parameterisation applied for HTEM survey over Lamego gold mine, Quadrilátero Ferrífero, MG, Brazil.

• Authors : Couto Junior, Marco Antonio^1,2 (AUTHOR) ; Fiandaca, Gianluca³ (AUTHOR); Maurya, Pradip Kumar³ (AUTHOR)

• Source: Exploration Geophysics. Jan2020, Vol. 51 Issue 1, p170-183. 14p.

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Critical assessment of the moisture distribution in existing building walls ; Évaluation critique de la répartition de l'humidité dans les murs de bâtiments existants

• Authors : Jumabekova, Ainagul; Berger, Julien; Belarbi, Rafik ...

Subjects: Temperature; Moisture; WallRio de Janeiro; Brazil

• Source: 8th International Symposium on ADVANCES IN COMPUTATIONAL HEAT TRANSFER – CHT-21https://hal.science/hal-036932888th International Symposium on ADVANCES IN COMPUTATIONAL HEAT TRANSFER –

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Identification of impulse responses in heat transfer: Dirac comb parameterization, cumulated doses and partial time moments

• Authors : Maillet, Denis; Rémy, Benjamin;

Subjects: [SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]; [INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationRio de Janeiro; Brazil

• Source: The 8th International Symposium on Advances in Computational Heat Transfer CHT-21 ; https://hal.science/hal-03531309 ; The 8th International Symposium on Advances in Computational Heat Transfer

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