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Ajouter au panierHardcover. Etat : Bon. Ancien livre de bibliothèque avec équipements. Edition 2008. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2008. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Ajouter au panierEtat : New. pp. 104.
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Ajouter au panierEtat : New. pp. xvi + 462 2nd Edition.
Langue: anglais
Edité par Springer-Verlag New York Inc, 2013
ISBN 10 : 1447149491 ISBN 13 : 9781447149491
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Ajouter au panierPaperback. Etat : Brand New. 2013 edition. 102 pages. 9.00x6.00x0.25 inches. In Stock.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Introduction to Image Processing Using R | Learning by Examples | Alejandro C. Frery (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xv | Englisch | 2013 | Springer | EAN 9781447149491 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.
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Ajouter au panierPaperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierEtat : New. 2022. 1st Edition. Hardcover. . . . . .
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Ajouter au panierHardcover. Etat : Brand New. 210 pages. 10.32x7.32x0.71 inches. In Stock.
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Ajouter au panierEtat : New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Langue: anglais
Edité par Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10 : 9819733146 ISBN 13 : 9789819733149
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering.
Langue: anglais
Edité par Springer Verlag, Singapore, Singapore, 2024
ISBN 10 : 9819733111 ISBN 13 : 9789819733118
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Ajouter au panierHardcover. Etat : new. Hardcover. The book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and interconnected devices to enhance the quality, efficiency, and accessibility of healthcare services. This involves leveraging Internet of Things (IoT) devices, wearable technology, and machine learning algorithms to monitor patient health, predict medical conditions, and offer personalized treatment recommendations. This innovative combination not only enhances diagnostics and treatment but also addresses the research challenges of healthcare access and delivery in an increasingly connected world. By exploring the synergy between smart healthcare and machine learning, the book helps to understand how these technologies can collaborate to revolutionize patient care and healthcare delivery. This book is an outcome with applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. The book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierBuch. Etat : Neu. Neuware - SAR IMAGE ANALYSIS -- A COMPUTATIONAL STATISTICS APPROACHDiscover how to use statistics to extract information from SAR imageryIn SAR Image Analysis -- A Computational Statistics Approach, an accomplished team of researchers delivers a practical exploration of how to use statistics to extract information from SAR imagery. The authors discuss various models, supply sample data and code, and explain theoretical aspects of SAR image analysis that are highly relevant to practitioners and students.The book offers the theoretical properties of models, estimators, interpretation, data visualization, and advanced techniques, along with the data and code samples, that students require to learn effectively and efficiently.SAR Image Analysis -- A Computational Statistics Approach provides various exercises throughout the book to help readers reinforce and retain the extensive information on parameter estimation, applications, reproducibility, replicability, and advanced topics, like robust estimators and stochastic distances, contained within.The book also includes:\* Thorough introductions to data acquisition and the elements of data analysis and image processing with R, including useful R packages, preprocessing SAR data, and visualization\* Comprehensive explorations of intensity SAR data and the multiplicative model, including the (SAR) gamma distribution, the K distribution, the G° distribution, and more general distributions under the multiplicative model\* Practical discussions of parameter estimations, including the Bernoulli distribution, the negative binomial distribution, and the uniform distribution\* In-depth examinations of applications, including statistical filters and classificationPerfect for undergraduate and graduate students studying remote sensing, data analysis, and statistics, SAR Image Analysis -- A Computational Statistics Approach is also an indispensable resource for researchers, practitioners, and professionals seeking a one-stop resource on how to use statistics to extract information from SAR imagery.
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Ajouter au panierEtat : New. pp. 352.