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Data Science for Nano Image Analysis

Data Science for Nano Image Analysis


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About the Book

Chapter 1. Introduction.- Chapter 2. Image Representation.- Chapter 3. Segmentation.- Chapter 4. Shape Analysis.- Chapter 5. Location and Dispersion Analysis.- Chapter 6. Lattice Pattern Analysis.- Chapter 7. Change Point Detection.- Chapter 8. State Space Modeling for Size Changes.- Chapter 9. Shape Change Tracking.- Chapter 10. Tracking Nucleation, Growth and Aggregation.- Chapter 11. Further Issues and Discussions.
About the Author: Chiwoo Park is an Associate Professor of Industrial and Manufacturing Engineering and Principal Investigator of the High Performance Material Institute in the Department of Industrial and Manufacturing Engineering at Florida State University, Tallahassee, USA. His research interests include data science and computer vision with applications to quality and manufacturing engineering and materials imaging. He is a senior member of the IISE and the IEEE. He serves as the Associate Editor for the IISE Transactions and the IEEE Transactions on Automation Science and Engineering.

Yu Ding is the Mike and Sugar Barnes Professor of Industrial & Systems Engineering and Professor of Electrical & Computer Engineering at Texas A&M University and Associate Director for Research Engagement at Texas A&M Institute of Data Science. His research interest is on data and quality science with applications to wind energy, and materials and manufacturing informatics. He is a Fellow of the IISE and ASME. He serves as the Editor-in-Chief for IISE Transaction for the term of 2021-2024.


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Product Details
  • ISBN-13: 9783030728212
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 368
  • Series Title: International Operations Research & Management Science
  • Weight: 766 gr
  • ISBN-10: 3030728218
  • Publisher Date: 03 Jul 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 22 mm
  • Width: 156 mm


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