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IRC-SET 2021: Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore

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Weitere Verfasser:	Guo, Huaqun (HerausgeberIn), Ren, Hongliang (HerausgeberIn), Wang, Victor (HerausgeberIn), Chekole, Eyasu Getahun (HerausgeberIn), Lakshmanan, Umayal (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Singapore Springer Nature Singapore 2022 Singapore Springer
Ausgabe:	1st ed. 2022
Schlagworte:	Applied and Technical Physics Biomedical Engineering and Bioengineering Biomedical Devices and Instrumentation Machine Learning Biomaterials Nanoengineering Physics Biomedical engineering Machine learning Nanotechnology
Online-Zugang:	BFB01 FKE01 TUM01 UBM01 UBT01 UBY01 URL des Erstveröffentlichers
Beschreibung:	1 Online-Ressource (XVII, 693 p. 392 illus., 325 illus. in color)
ISBN:	9789811698699
DOI:	10.1007/978-981-16-9869-9

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Datensatz im Suchindex

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dewey-tens	620 - Engineering and allied operations
discipline	Physik
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edition	1st ed. 2022
format	Electronic eBook
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spelling	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore edited by Huaqun Guo, Hongliang Ren, Victor Wang, Eyasu Getahun Chekole, Umayal Lakshmanan 1st ed. 2022 Singapore Springer Nature Singapore 2022 Singapore Springer 1 Online-Ressource (XVII, 693 p. 392 illus., 325 illus. in color) txt rdacontent c rdamedia cr rdacarrier Applied and Technical Physics Biomedical Engineering and Bioengineering Biomedical Devices and Instrumentation Machine Learning Biomaterials Nanoengineering Physics Biomedical engineering Machine learning Nanotechnology Guo, Huaqun edt Ren, Hongliang edt Wang, Victor edt Chekole, Eyasu Getahun edt Lakshmanan, Umayal edt Erscheint auch als Druck-Ausgabe 978-981-1698-68-2 Erscheint auch als Druck-Ausgabe 978-981-1698-70-5 Erscheint auch als Druck-Ausgabe 978-981-1698-71-2 https://doi.org/10.1007/978-981-16-9869-9 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore Applied and Technical Physics Biomedical Engineering and Bioengineering Biomedical Devices and Instrumentation Machine Learning Biomaterials Nanoengineering Physics Biomedical engineering Machine learning Nanotechnology
title	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore
title_auth	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore
title_exact_search	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore
title_exact_search_txtP	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore
title_full	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore edited by Huaqun Guo, Hongliang Ren, Victor Wang, Eyasu Getahun Chekole, Umayal Lakshmanan
title_fullStr	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore edited by Huaqun Guo, Hongliang Ren, Victor Wang, Eyasu Getahun Chekole, Umayal Lakshmanan
title_full_unstemmed	IRC-SET 2021 Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore edited by Huaqun Guo, Hongliang Ren, Victor Wang, Eyasu Getahun Chekole, Umayal Lakshmanan
title_short	IRC-SET 2021
title_sort	irc set 2021 proceedings of the 7th irc conference on science engineering and technology august 2021 singapore
title_sub	Proceedings of the 7th IRC Conference on Science, Engineering and Technology, August 2021, Singapore
topic	Applied and Technical Physics Biomedical Engineering and Bioengineering Biomedical Devices and Instrumentation Machine Learning Biomaterials Nanoengineering Physics Biomedical engineering Machine learning Nanotechnology
topic_facet	Applied and Technical Physics Biomedical Engineering and Bioengineering Biomedical Devices and Instrumentation Machine Learning Biomaterials Nanoengineering Physics Biomedical engineering Machine learning Nanotechnology
url	https://doi.org/10.1007/978-981-16-9869-9
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