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Data Science for Nano Image Analysis

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This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type of nano material problems can be better solved by which set of data science methods. The majority of material science research is thus far carried out by domain-specific experts in material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. The book could benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data scientists in computer science or statistics disciplines who want to work on material image problems or contribute to materials discovery and optimization.

This book provides in-depth discussions of how data science and operations research methods can help and improve nano image analysis, automating the otherwise manual and time-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methods are described in the context of nano image applications, with specific material science case studies.

Availability
Inventory Code Barcode Call Number Location Status
2108000336EB0005082620.5 Par dCentral Library (OPAC)Available
Detail Information
Series Title
International Series in Operations Research & Management Science
Call Number
620.5 Par d
Publisher
Switzerland : Springer Cham.,
Collation
xvi, 368p.:Ill
Language
English
ISBN/ISSN
978-3-030-72822-9
Classification
620.5
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Nanotechnology
Specific Detail Info
-
Statement of Responsibility
Other version/related
TitleEditionLanguage
Data Science for Nano Image Analysis1en
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