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Advances in Visualization and Optimization Techniques for Multidisciplinary Research: Trends in Modelling and Simulations for Engineering Applications: Lecture Notes in Mechanical Engineering

Editat de Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan
en Limba Engleză Paperback – 28 sep 2020
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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Specificații

ISBN-13: 9789811398087
ISBN-10: 9811398089
Pagini: 356
Ilustrații: XIV, 356 p. 226 illus., 165 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Mechanical Engineering

Locul publicării:Singapore, Singapore

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Textul de pe ultima copertă

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. 

Caracteristici

Presents several multidisciplinary approaches to the visual representation of data acquired from experiments Includes data examination generated by mathematical-physical modeling Presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016