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Book Synopsis

- An Introduction of Statistical Learning for Engineers.- Machine Learning for Inline Surface Inspection Systems - Challenges, Approaches, and Application Example.- Gaussian Process Regression for the Prediction of Cable Bundle Characteristics.- Machine Learning for Predictive Maintenance in Production Environments.- Detecting Healthcare Fraud Using Hybrid Machine Learning for Document Digitization.- Cracks in concrete.- Machine learning methods for prediction of breakthrough curves in reactive porous media.- Segmentation and Aggregation in Text Classification.- Hardware-aware Neural Architecture Search.- Optimal Experimental Design Supported by Machine Learning Regression Models.- Data Analytics, Artificial Intelligence and Machine Learning in Mobility and Vehicle Engineering.

Statistical Machine Learning for Engineering with

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    A Paperback by Jürgen Franke

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      Publisher: Springer
      Publication Date: Publication Date: 10/9/2024
      ISBN13: 9783031662522, 978-3031662522
      ISBN10: 3031662520

      Description

      Book Synopsis

      - An Introduction of Statistical Learning for Engineers.- Machine Learning for Inline Surface Inspection Systems - Challenges, Approaches, and Application Example.- Gaussian Process Regression for the Prediction of Cable Bundle Characteristics.- Machine Learning for Predictive Maintenance in Production Environments.- Detecting Healthcare Fraud Using Hybrid Machine Learning for Document Digitization.- Cracks in concrete.- Machine learning methods for prediction of breakthrough curves in reactive porous media.- Segmentation and Aggregation in Text Classification.- Hardware-aware Neural Architecture Search.- Optimal Experimental Design Supported by Machine Learning Regression Models.- Data Analytics, Artificial Intelligence and Machine Learning in Mobility and Vehicle Engineering.

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