Publicado por Engineering Science Reference, 2020
ISBN 10: 1799866904 ISBN 13: 9781799866909
Idioma: Inglés
Librería: dsmbooks, Liverpool, Reino Unido
EUR 276,93
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Publicado por Engineering Science Reference, 2020
ISBN 10: 1799866904 ISBN 13: 9781799866909
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 324,21
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Publicado por Engineering Science Reference, 2020
ISBN 10: 1799866904 ISBN 13: 9781799866909
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 352,73
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. The book highlight concepts, methods, and tools, including convolutional neura.
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799866904 ISBN 13: 9781799866909
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 435,48
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.