Advances in Visualization and Optimization Techniques for Multidisciplinary Research : Trends in Modelling and Simulations for Engineering Applications / / edited by Dean Vucinic, Fabiana Rodrigues Leta, Sheeja Janardhanan

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XIV, 356 p. 226 illus., 165 illus. in color.)
• Disciplina: 621.382
• Soggetto topico: Signal processing; Computer vision; Mathematical physics; Materials - Analysis; Signal, Speech and Image Processing; Computer Vision; Theoretical, Mathematical and Computational Physics; Characterization and Analytical Technique
• Persona (resp. second.): VucinicDean; Rodrigues LetaFabiana; JanardhananSheeja
• Sommario/riassunto: 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. .
• Titolo autorizzato: Advances in Visualization and Optimization Techniques for Multidisciplinary Research
• ISBN: 981-13-9806-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910366592703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Mechanical Engineering, . 2195-4364