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191022 ||| eng |
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|a 9789811398063
|
100 |
1 |
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|a Vucinic, Dean
|e [editor]
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245 |
0 |
0 |
|a Advances in Visualization and Optimization Techniques for Multidisciplinary Research
|h Elektronische Ressource
|b Trends in Modelling and Simulations for Engineering Applications
|c edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan
|
250 |
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|a 1st ed. 2020
|
260 |
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|a Singapore
|b Springer Nature Singapore
|c 2020, 2020
|
300 |
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|a XIV, 356 p. 226 illus., 165 illus. in color
|b online resource
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653 |
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|a Computer vision
|
653 |
|
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|a Computer Vision
|
653 |
|
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|a Signal, Speech and Image Processing
|
653 |
|
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|a Mathematical physics
|
653 |
|
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|a Signal processing
|
653 |
|
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|a Materials / Analysis
|
653 |
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|a Characterization and Analytical Technique
|
653 |
|
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|a Theoretical, Mathematical and Computational Physics
|
700 |
1 |
|
|a Rodrigues Leta, Fabiana
|e [editor]
|
700 |
1 |
|
|a Janardhanan, Sheeja
|e [editor]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
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|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
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|a Lecture Notes in Mechanical Engineering
|
028 |
5 |
0 |
|a 10.1007/978-981-13-9806-3
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-13-9806-3?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
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|a 621.382
|
520 |
|
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|a 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.
|