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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Visualization and Optimization Techniques for Multidisciplinary Research/ edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan.
其他題名:	Trends in Modelling and Simulations for Engineering Applications /
其他作者:	Vucinic, Dean.
面頁冊數:	XIV, 356 p. 226 illus., 165 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	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 /
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