Verfügbarkeit: Applied Technologies | Technische Universität München

Applied Technologies: 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II

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Weitere beteiligte Personen:	Botto-Tobar, Miguel (HerausgeberIn), Zambrano Vizuete, Marcelo (HerausgeberIn), Montes León, Sergio (HerausgeberIn), Torres-Carrión, Pablo (HerausgeberIn), Durakovic, Benjamin (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer Nature Switzerland 2023 Cham Springer
Ausgabe:	1st ed. 2023
Schriftenreihe:	Communications in Computer and Information Science 1756
Schlagwörter:	Computer Engineering and Networks Software Engineering Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer engineering Computer networks Software engineering Artificial intelligence Image processing—Digital techniques Computer vision
Links:	https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6 https://doi.org/10.1007/978-3-031-24971-6
Umfang:	1 Online-Ressource (XIX, 510 p. 325 illus., 298 illus. in color)
ISBN:	9783031249716
ISSN:	1865-0937
DOI:	10.1007/978-3-031-24971-6

Internformat

MARC


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illustrated	Not Illustrated
indexdate	2024-12-20T19:52:06Z
institution	BVB
isbn	9783031249716
issn	1865-0937
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034062139
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physical	1 Online-Ressource (XIX, 510 p. 325 illus., 298 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2023
publishDate	2023
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publisher	Springer Nature Switzerland Springer
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spelling	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic 1st ed. 2023 Cham Springer Nature Switzerland 2023 Cham Springer 1 Online-Ressource (XIX, 510 p. 325 illus., 298 illus. in color) txt rdacontent c rdamedia cr rdacarrier Communications in Computer and Information Science 1756 1865-0937 Computer Engineering and Networks Software Engineering Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer engineering Computer networks Software engineering Artificial intelligence Image processing—Digital techniques Computer vision Botto-Tobar, Miguel edt Zambrano Vizuete, Marcelo edt Montes León, Sergio edt Torres-Carrión, Pablo edt Durakovic, Benjamin edt Erscheint auch als Druck-Ausgabe 978-3-031-24970-9 Erscheint auch als Druck-Ausgabe 978-3-031-24972-3 https://doi.org/10.1007/978-3-031-24971-6 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II Computer Engineering and Networks Software Engineering Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer engineering Computer networks Software engineering Artificial intelligence Image processing—Digital techniques Computer vision
title	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II
title_auth	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II
title_exact_search	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II
title_full	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
title_fullStr	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
title_full_unstemmed	Applied Technologies 4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II edited by Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
title_short	Applied Technologies
title_sort	applied technologies 4th international conference icat 2022 quito ecuador november 23 25 2022 revised selected papers part ii
title_sub	4th International Conference, ICAT 2022, Quito, Ecuador, November 23–25, 2022, Revised Selected Papers, Part II
topic	Computer Engineering and Networks Software Engineering Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer engineering Computer networks Software engineering Artificial intelligence Image processing—Digital techniques Computer vision
topic_facet	Computer Engineering and Networks Software Engineering Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer engineering Computer networks Software engineering Artificial intelligence Image processing—Digital techniques Computer vision
url	https://doi.org/10.1007/978-3-031-24971-6
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