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245 1 0 _aAdvances in Visualization and Optimization Techniques for Multidisciplinary Research
_h[electronic resource] :
_bTrends in Modelling and Simulations for Engineering Applications /
_cedited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXIV, 356 p. 226 illus., 165 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Mechanical Engineering,
_x2195-4364
520 _aThis 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. .
650 0 _aSignal processing.
_94052
650 0 _aComputer vision.
_932376
650 0 _aMathematical physics.
_911013
650 0 _aMaterials—Analysis.
_932377
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aComputer Vision.
_932378
650 2 4 _aTheoretical, Mathematical and Computational Physics.
_931560
650 2 4 _aCharacterization and Analytical Technique.
_932379
700 1 _aVucinic, Dean.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_932380
700 1 _aRodrigues Leta, Fabiana.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_932381
700 1 _aJanardhanan, Sheeja.
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_4http://id.loc.gov/vocabulary/relators/edt
_932382
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Mechanical Engineering,
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_932384
856 4 0 _uhttps://doi.org/10.1007/978-981-13-9806-3
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