menu
{ "item_title" : "Data Science in Engineering, Volume 9", "item_author" : [" Ramin Madarshahian", "Francois Hemez "], "item_description" : "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", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/104/124/3031041240_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Science in Engineering, Volume 9|Ramin Madarshahian

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

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9783031041242
  • ISBN-10: 3031041240
  • Publisher: Springer
  • Publish Date: July 2023
  • Dimensions: 11 x 8.25 x 0.35 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 156

Related Categories

You May Also Like...

    1

BAM Customer Reviews