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Advances in Visualization and Optimization Techniques for Multidisciplinary Research : Trends in Modelling and Simulations for Engineering Applications / edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan.

Contributor(s): Vucinic, Dean, editor | Rodrigues Leta, Fabiana, editor | Janardhanan, Sheeja, editor
Series: (Lecture Notes in Mechanical Engineering, 2195-4356); (Engineering (Springer-11647)).Publisher: Singapore : Springer Singapore, 2020Edition: 1st ed. 2020.Description: 1 recurso en línea (XIV, 356 páginas) : 226 ilustraciones, 165 ilustraciones a color.ISBN: 9789811398063.Subject: Sistemas de visualización de informaciónOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources Summary: This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis. In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016. .
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9 .I52 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook06012050
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This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis. In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016. .

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