國立虎尾科技大學 |

Advances in Visualization and Optimization Techniques for Multidisciplinary Research = Trends in Modelling and Simulations for Engineering Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in Visualization and Optimization Techniques for Multidisciplinary Research/ edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan.
Reminder of title:	Trends in Modelling and Simulations for Engineering Applications /
other author:	Vucinic, Dean.
Description:	XIV, 356 p. 226 illus., 165 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Signal processing. -
Online resource:	https://doi.org/10.1007/978-981-13-9806-3
ISBN:	9789811398063

Advances in Visualization and Optimization Techniques for Multidisciplinary Research = Trends in Modelling and Simulations for Engineering Applications /
Advances in Visualization and Optimization Techniques for Multidisciplinary ResearchTrends in Modelling and Simulations for Engineering Applications /[electronic resource] :edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan. - 1st ed. 2020. - XIV, 356 p. 226 illus., 165 illus. in color.online resource. - Lecture Notes in Mechanical Engineering,2195-4356. - Lecture Notes in Mechanical Engineering,.

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. .

ISBN: 9789811398063

Standard No.: 10.1007/978-981-13-9806-3doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Advances in Visualization and Optimization Techniques for Multidisciplinary Research = Trends in Modelling and Simulations for Engineering Applications /
LDR:02227nam a22004215i 4500 001 1025318
003 DE-He213
005 20200706090802.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811398063 $9 978-981-13-9806-3
024 7 $a 10.1007/978-981-13-9806-3 $2 doi
035 $a 978-981-13-9806-3
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
245 1 0 $a Advances in Visualization and Optimization Techniques for Multidisciplinary Research $h [electronic resource] : $b Trends in Modelling and Simulations for Engineering Applications / $c edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XIV, 356 p. 226 illus., 165 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Mechanical Engineering, $x 2195-4356
520 $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. .
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Optical data processing. $3 639187
650 0 $a Physics. $3 564049
650 0 $a Materials science. $3 557839
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Numerical and Computational Physics, Simulation. $3 1112293
650 2 4 $a Characterization and Evaluation of Materials. $3 674449
700 1 $a Vucinic, Dean. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1321573
700 1 $a Rodrigues Leta, Fabiana. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1321574
700 1 $a Janardhanan, Sheeja. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1321575
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811398056
776 0 8 $i Printed edition: $z 9789811398070
776 0 8 $i Printed edition: $z 9789811398087
830 0 $a Lecture Notes in Mechanical Engineering, $x 2195-4356 $3 1253850
856 4 0 $u https://doi.org/10.1007/978-981-13-9806-3
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)