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Data Science in Engineering Vol. 10

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Title: Data Science in Engineering Vol. 10
Description: Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the tenth volume of ten 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 Data-driven System Prognostics
Authors: Thomas Matarazzo, François Hemez, Eleonora Maria Tronci, Austin Downey
Resource Type: eBook.
Subjects: Structural engineering--Data processing--Congresses, Engineering--Databases--Congresses
Categories: COMPUTERS / Database Administration & Management, COMPUTERS / Artificial Intelligence / General, SCIENCE / Mechanics / Dynamics, SCIENCE / Mechanics / Statics, TECHNOLOGY & ENGINEERING / Civil / General, TECHNOLOGY & ENGINEERING / Mechanical
Database: eBook Index
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  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4043434
RelevancyScore: 975
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 974.776672363281
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  Data: Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the tenth volume of ten 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 Data-driven System Prognostics
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RecordInfo BibRecord:
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      – Code: 620.00285574
        Scheme: ddc
        Type: prePub
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      – Code: eng
        Text: English
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      – SubjectFull: Structural engineering--Data processing--Congresses
        Type: general
      – SubjectFull: Engineering--Databases--Congresses
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      – TitleFull: Data Science in Engineering Vol. 10
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            NameFull: Thomas Matarazzo
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 17
              M: 10
              Type: profile
              Y: 2024
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              Value: 9783031681417
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