Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 - Couverture souple

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9783031041242: Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

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ISBN 10 : 3031041240 ISBN 13 : 9783031041242

Editeur : Springer, 2023

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Data Science in Engineering, Volume 9: Proceedings of the 40^th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:

Novel Data-driven Analysis Methods
Deep Learning Gaussian Process Analysis
Real-time Video-based Analysis
Applications to Nonlinear Dynamics and Damage Detection
High-rate Structural Monitoring and Prognostics

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l'auteur

Ramin Madarshahian, Company: Kount, an Equifax company, ID, USA; Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USA

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2023
Langue: anglais
ISBN 10: 3031041240
ISBN 13: 9783031041242
Reliure: Broch�
Nombre de pages: 164
�diteur: Madarshahian Ramin, Hemez Francois
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

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Data Science in Engineering, Volume 9 (eng)

Madarshahian, Ramin

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ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Data Science in Engineering, Volume 9

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ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ramin Madarshahian, Company: Kount, an Equifax company, ID, USA&nbsp Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USAData Science in Engineering, Volume 9:&nbsp&nbspProceedings of the 40th&nbspIMAC, N� de r�f. du vendeur 888374346

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Data Science in Engineering, Volume 9

Francois Hemez

Edit� par Springer International Publishing Jul 2023, 2023

ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Science in Engineering, Volume 9:Proceedings of the 40thIMAC,A Conference and Exposition on Structural Dynamics, 2022,the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering.The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:Novel Data-driven Analysis MethodsDeep Learning Gaussian Process AnalysisReal-time Video-based AnalysisApplications to Nonlinear Dynamics and Damage DetectionHigh-rate Structural Monitoring and Prognostics 164 pp. Englisch. N� de r�f. du vendeur 9783031041242

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Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 (Conference Proceedings of the Society for Experimental Mechanics Series)

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ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 (Conference Proceedings of the Society for Experimental Mechanics Series)

Edit� par Springer, 2023

ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Data Science in Engineering, Volume 9 : Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

Ramin Madarshahian

Edit� par Springer, 2023

ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data Science in Engineering, Volume 9:Proceedings of the 40thIMAC,A Conference and Exposition on Structural Dynamics, 2022,the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering.The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:Novel Data-driven Analysis MethodsDeep Learning Gaussian Process AnalysisReal-time Video-based AnalysisApplications to Nonlinear Dynamics and Damage DetectionHigh-rate Structural Monitoring and Prognostics. N� de r�f. du vendeur 9783031041242

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Data Science in Engineering, Volume 9 | Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

Ramin Madarshahian (u. a.)

Edit� par Springer, 2023

ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Data Science in Engineering, Volume 9

Ramin Madarshahian

Edit� par Springer International Publishing, Springer Jul 2023, 2023

ISBN 10 : 3031041240 ISBN 13 : 9783031041242

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Chapter 1. Model Updating for Nonlinear Dynamic Digital Twins Using Data-Based Inverse Mapping Models.- Chapter 2. Deep Reinforcement Learning for Active Structure Stabilization.- Chapter 3. Estimation of Structural Vibration Modal Properties Using a Spike-Based Computing Paradigm.- Chapter 4. Environmental-Insensitive Damage Features Based on Transmissibility Coherence.- Chapter 5. Transmittance Anomalies for Model-Based Damage Detection with Finite Element Generated Data and Deep Learning.- Chapter 6. Machine Learning based Condition Monitoring with Multibody Dynamics Models for Gear Transmission Faults.- Chapter 7. Structural Damage Detection Framework Using Metaheuristic Algorithms and Optimal Finite Element Modeling.- Chapter 8. On Aspects of Geometry in SHM and Population-Based SHM.- Chapter 9. A Robust PCA-based Framework for Long-Term Condition Monitoring of Civil Infrastructures.- Chapter 10. Data-Driven Parameter Identification for Turbomachinery Blisks.- Chapter 11. Classification of Rail Irregularities from Axle Box Accelerations using Random Forests and Convolutional Neural Networks.- Chapter 12. Development of a Surrogate Model for Structural Health Monitoring of a UAV Wing Spar.- Chapter 13. On a Description of Aeroplanes and Aeroplane Components using Irreducible Element Models.- Chapter 14. Input Estimation of Four-DOF Nonlinear Building Using Probabilistic Recurrent Neural Network.- Chapter 15. Simulation-Based Damage Detection for Composite Structures with Machine Learning Techniques.- Chapter 16. Synthesizing Dynamic Time-series Data for Structures Under Shock Using Generative Adversarial Networks.- Chapter 17. Multi-Layer Input Deep Learning Applied to Ultrasonic Wavefield Measurements.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch. N� de r�f. du vendeur 9783031041242

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