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Data Science for Nano Image Analysis, Park Chiwoo, Ding Yu


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Автор: Park Chiwoo, Ding Yu
Название:  Data Science for Nano Image Analysis
ISBN: 9783030728212
Издательство: Springer
Классификация:



ISBN-10: 3030728218
Обложка/Формат: Hardcover
Страницы: 368
Вес: 0.72 кг.
Дата издания: 08.09.2021
Язык: English
Размер: 23.39 x 15.60 x 2.24 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: 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.


Data Science for Nano Image Analysis

Автор: Park
Название: Data Science for Nano Image Analysis
ISBN: 3030728242 ISBN-13(EAN): 9783030728243
Издательство: Springer
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Цена: 19514.00 р.
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Описание: 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.

Excel data analysis

Автор: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
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Цена: 12196.00 р.
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Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification

Автор: Nora Webb Williams, Andreu Casas, John D. Wilkerso
Название: Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification
ISBN: 1108816851 ISBN-13(EAN): 9781108816854
Издательство: Cambridge Academ
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Цена: 2851.00 р.
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Описание: Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance and instruction for scholars interested in using these methods in their own research.

Qualitative Data Analysis with NVivo

Автор: Kristi Jackson, Patricia Bazeley
Название: Qualitative Data Analysis with NVivo
ISBN: 1526449935 ISBN-13(EAN): 9781526449931
Издательство: Sage Publications
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Цена: 17424.00 р.
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Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.

Foundations of Time-Frequency Analysis

Автор: Karlheinz Gr?chenig
Название: Foundations of Time-Frequency Analysis
ISBN: 1461265681 ISBN-13(EAN): 9781461265689
Издательство: Springer
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Цена: 10976.00 р.
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Описание: Time-frequency analysis is a modern branch of harmonic analysis. The topics range from the elemen- tary theory of the short-time Fourier transform and classical results about the Wigner distribution via the recent theory of Gabor frames to quantita- tive methods in time-frequency analysis and the theory of pseudodifferential operators.

Adventures in Social Research

Название: Adventures in Social Research
ISBN: 1412940834 ISBN-13(EAN): 9781412940832
Издательство: Sage Publications
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Цена: 5542.00 р.
Наличие на складе: Поставка под заказ.

Описание: Designed for both introductory and advanced research methods or statistics courses in sociology, political science, social work, criminal justice, and public health departments, this is a computer skills and data analysis textbook for any discipline that uses survey methods.

Quantitative Data Analysis

Автор: Treiman Donald J
Название: Quantitative Data Analysis
ISBN: 0470380039 ISBN-13(EAN): 9780470380031
Издательство: Wiley
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Цена: 11714.00 р.
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Описание: This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results.

Analysis of longitudinal data

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
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Цена: 9375.00 р.
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Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

Data analysis using regression and multilevel/hierarchical models

Автор: Gelman
Название: Data analysis using regression and multilevel/hierarchical models
ISBN: 052168689X ISBN-13(EAN): 9780521686891
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.

Bourdieu and Data Analysis: Methodological Principles and Practice

Автор: Michael Grenfell
Название: Bourdieu and Data Analysis: Methodological Principles and Practice
ISBN: 3034308787 ISBN-13(EAN): 9783034308786
Издательство: Peter Lang
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Цена: 12621.00 р.
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Описание: Uniquely amongst the numerous publications to appear on the work of the French social theorist Pierre Bourdieu, this book deals with data analysis, examining a range of techniques and instruments. After an introductory chapter outlining the key principles of Bourdieu’s theory, the book presents detailed examples of data being collected and analysed in a Bourdieusian way across various social science contexts. Both qualitative and quantitative methods are addressed, including analysis of the strengths and weaknesses of each method, as are common data collection procedures such as interview, observation and questionnaire. Examples of Multiple Correspondence Analysis are an important feature of the book, since this was an approach particularly favoured by Bourdieu. In each case study, the pros and cons of different approaches are highlighted and the qualitative/quantitative debate is thoroughly explored. Overall, the book offers readers a blueprint to develop their own methodological plans for using Bourdieu in research practice.

Branch-and-Bound Applications in Combinatorial Data Analysis

Автор: Michael J. Brusco; Stephanie Stahl
Название: Branch-and-Bound Applications in Combinatorial Data Analysis
ISBN: 1441920390 ISBN-13(EAN): 9781441920393
Издательство: Springer
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Цена: 15855.00 р.
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Описание: Supplementary material, such as computer programs, are provided on the world wide web.Dr. Brusco is an editorial board member for the Journal of Classification, and a member of the Board of Directors for the Classification Society of North America.

Handbook on Data Envelopment Analysis

Автор: William W. Cooper; Lawrence M. Seiford; Joe Zhu
Название: Handbook on Data Envelopment Analysis
ISBN: 1461429994 ISBN-13(EAN): 9781461429999
Издательство: Springer
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Цена: 19514.00 р.
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Описание: Focusing on extensively used Data Envelopment Analysis topics, this volume aims to both describe the state of the field and extend the frontier of DEA research. New chapters include DEA models for DMUs, network DEA, models for supply chain operations and applications, and new developments.


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