Cloud Computing in Remote Sensing, Lizhe Wang, Jining Yan, Yan Ma

Автор: Liu Zhi-Qiang, Cai Jin-Hai, Buse Richard
Название: Handwriting Recognition / Soft Computing and Probabilistic Approaches
ISBN: 3540401776 ISBN-13(EAN): 9783540401773
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book takes a fresh look at the problem of unconstrained handwriting recognition and introduces the reader to new techniques for the recognition of written words and characters using statistical and soft computing approaches. The types of uncertainties and variations present in handwriting data are discussed in detail. The book presents several algorithms that use modified hidden Markov models and Markov random field models to simulate the handwriting data statistically and structurally in a single framework. The book explores methods that use fuzzy logic and fuzzy sets for handwriting recognition. The effectiveness of these techniques is demonstrated through extensive experimental results and real handwritten characters and words.

Автор: Ivan Ivanov; Marten van Sinderen; Boris Shishkov
Название: Cloud Computing and Services Science
ISBN: 1489988394 ISBN-13(EAN): 9781489988393
Издательство: Springer
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Цена: 144410.00 T
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Описание: The Cloud Computing and Services Science book comprises a collection of the best papers presented at the International Conference on Cloud Computing and Services Science (CLOSER), which was held in The Netherlands in May 2011.

Автор: Ya-Qiu Jin
Название: Theory and Approach of Information Retrievals from Electromagnetic Scattering and Remote Sensing
ISBN: 9402404562 ISBN-13(EAN): 9789402404562
Издательство: Springer
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Цена: 156720.00 T
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Описание: Advances in space-borne remote sensing have significantly changed the mankind viewpoint how to observe our own Earth planet. In Chapter 1, iterative solutions of multiple scattering and emission from inhomogeneous dense scatter media, and inhomogeneous non-spherical scatter media are discussed.

Автор: Naveenchandra N. Srivastava
Название: Emerging trends in open source geographic information systems /
ISBN: 1522550399 ISBN-13(EAN): 9781522550396
Издательство: Mare Nostrum (Eurospan)
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Цена: 203810.00 T
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Описание: Open access to information of geographic places and spatial relationships provides an essential part of the analytical processing of spatial data. Access to connected geospatial programs allows for improvement in teaching and understanding science, technology, engineering, and mathematics.Emerging Trends in Open Source Geographic Information Systems provides emerging research on the applications of free and open software in geographic information systems in various fields of study. While highlighting topics such as data warehousing, hydrological modeling, and software packages, this publication explores the assessment and techniques of open software functionality and interfaces. This book is an important resource for professionals, researchers, academicians, and students seeking current research on the different types and uses of data and data analysis in geographic information systems.

Автор: Moha El-Ayachi, Loubna El Mansouri
Название: Geospatial Technologies for Effective Land Governance
ISBN: 1522559396 ISBN-13(EAN): 9781522559399
Издательство: Mare Nostrum (Eurospan)
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Цена: 199590.00 T
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Описание: Provides vital research on the application of the use of GNSS, remote sensing, and GIS. While highlighting topics such as crop management, multispectral images, and irrigation, this publication explores land administration, encompassing both cadastral systems and land registration, as well as the methods of land governance strategies.

Автор: Saifullah Khalid
Название: Applied computational intelligence and soft computing in engineering /
ISBN: 1522531297 ISBN-13(EAN): 9781522531296
Издательство: Turpin
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Цена: 252560.00 T
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Описание: Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.