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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) - Hardcover
Book 173 of 200: Conference Proceedings of the Society for Experimental Mechanics
Synopsis
Data Science in Engineering, Volume 9: Proceedings of the 40th 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
"synopsis" may belong to another edition of this title.
About the Author
Ramin Madarshahian, Company: Kount, an Equifax company, ID, USA; Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USA
From the Back Cover
Data Science in Engineering, Volume 9: Proceedings of the 40th 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
"About this title" may belong to another edition of this title.
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Data Science in Engineering, Volume 9 (eng)
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Data Science in Engineering, Volume 9
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Condition: 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  Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USAData Science in Engineering, Volume 9:  Proceedings of the 40th IMAC, Seller Inventory # 573463292
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Data Science in Engineering : Proceedings of the 40th Imac, a Conference and Exposition on Structural Dynamics 2022
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Data Science in Engineering, Volume 9
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Buch. Condition: 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. Seller Inventory # 9783031041211
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Data Science in Engineering : Proceedings of the 40th Imac, a Conference and Exposition on Structural Dynamics 2022
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Data Science in Engineering, Volume 9 (Hardcover)
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ISBN 10: 3031041216
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Hardcover. Condition: new. Hardcover. Data Science in Engineering, Volume 9: Proceedings of the 40th 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 MethodsDeep Learning Gaussian Process AnalysisReal-time Video-based AnalysisApplications to Nonlinear Dynamics and Damage DetectionHigh-rate Structural Monitoring and Prognostics Data Science in Engineering, Volume 9: Proceedings of the 40th 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031041211
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Data Science in Engineering, Volume 9
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Buch. Condition: 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 KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch. Seller Inventory # 9783031041211
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Data Science in Engineering, Volume 9 : Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022
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Buch. Condition: 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. Seller Inventory # 9783031041211
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Data Science in Engineering: Proceedings of the 40th Imac, a Conference and Exposition on Structural Dynamics 2022
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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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