Verfügbarkeit: Artificial Intelligence for a Sustainable Industry 4.0

Artificial Intelligence for a Sustainable Industry 4.0:

Gespeichert in:

Bibliographische Detailangaben
Weitere beteiligte Personen:	Awasthi, Shashank (HerausgeberIn), Travieso-Gonzalez, Carlos (HerausgeberIn), Sanyal, Goutam (HerausgeberIn), Singh, Dinesh Kumar (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2021
Schlagwörter:	Artificial Intelligence Communications Engineering, Networks Industrial and Production Engineering Cyber-physical systems, IoT. Artificial intelligence Electrical engineering Industrial engineering Production engineering Computer engineering Internet of things Embedded computer systems
Links:	https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9 https://doi.org/10.1007/978-3-030-77070-9
Umfang:	1 Online-Ressource (XVI, 307 Seiten) Illustrationen
ISBN:	9783030770709
DOI:	10.1007/978-3-030-77070-9

Internformat

MARC


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Datensatz im Suchindex

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owner	DE-355 DE-BY-UBR DE-188 DE-91 DE-BY-TUM DE-706 DE-92 DE-29 DE-384 DE-703 DE-19 DE-BY-UBM DE-739 DE-634 DE-473 DE-BY-UBG DE-20 DE-Aug4 DE-858 DE-1050 DE-573 DE-860 DE-M347 DE-898 DE-BY-UBR DE-861 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-523
owner_facet	DE-355 DE-BY-UBR DE-188 DE-91 DE-BY-TUM DE-706 DE-92 DE-29 DE-384 DE-703 DE-19 DE-BY-UBM DE-739 DE-634 DE-473 DE-BY-UBG DE-20 DE-Aug4 DE-858 DE-1050 DE-573 DE-860 DE-M347 DE-898 DE-BY-UBR DE-861 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-523
physical	1 Online-Ressource (XVI, 307 Seiten) Illustrationen
psigel	ZDB-2-PRO ZDB-2-SCS ZDB-2-PRO_2021 ZDB-2-SCS_2021
publishDate	2021
publishDateSearch	2021
publishDateSort	2021
publisher	Springer International Publishing
record_format	marc
spellingShingle	Artificial Intelligence for a Sustainable Industry 4.0 Artificial Intelligence Communications Engineering, Networks Industrial and Production Engineering Cyber-physical systems, IoT. Artificial intelligence Electrical engineering Industrial engineering Production engineering Computer engineering Internet of things Embedded computer systems
title	Artificial Intelligence for a Sustainable Industry 4.0
title_auth	Artificial Intelligence for a Sustainable Industry 4.0
title_exact_search	Artificial Intelligence for a Sustainable Industry 4.0
title_full	Artificial Intelligence for a Sustainable Industry 4.0 edited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh
title_fullStr	Artificial Intelligence for a Sustainable Industry 4.0 edited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh
title_full_unstemmed	Artificial Intelligence for a Sustainable Industry 4.0 edited by Shashank Awasthi, Carlos M. Travieso-González, Goutam Sanyal, Dinesh Kumar Singh
title_short	Artificial Intelligence for a Sustainable Industry 4.0
title_sort	artificial intelligence for a sustainable industry 4 0
topic	Artificial Intelligence Communications Engineering, Networks Industrial and Production Engineering Cyber-physical systems, IoT. Artificial intelligence Electrical engineering Industrial engineering Production engineering Computer engineering Internet of things Embedded computer systems
topic_facet	Artificial Intelligence Communications Engineering, Networks Industrial and Production Engineering Cyber-physical systems, IoT. Artificial intelligence Electrical engineering Industrial engineering Production engineering Computer engineering Internet of things Embedded computer systems
url	https://doi.org/10.1007/978-3-030-77070-9
work_keys_str_mv	AT awasthishashank artificialintelligenceforasustainableindustry40 AT traviesogonzalezcarlos artificialintelligenceforasustainableindustry40 AT sanyalgoutam artificialintelligenceforasustainableindustry40 AT singhdineshkumar artificialintelligenceforasustainableindustry40

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