Maschinelles Lernen in der automatischen Auswertung von Punktwolken:  Beispiele der Erfahrungen  an der Universität Luxemburg

Reference : Maschinelles Lernen in der automatischen Auswertung von Punktwolken: Beispiele der E...


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Civil engineering
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/52645

Title :	Maschinelles Lernen in der automatischen Auswertung von Punktwolken: Beispiele der Erfahrungen an der Universität Luxemburg
Language :	English
Author, co-author :	Nurunnabi, Abdul Awal Md [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Teferle, Felix Norman [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	7-Oct-2023
Number of pages :	38
Peer reviewed :	No
On invitation :	Yes
Audience :	International
Event name :	Kleiner Geodätentag Rheinland-Pfalz, Saarland, Luemburg
Event date :	7-10-2022
Event organizer :	DVW Rheinland-Pfalz e. V. / Technische Akademie Südwest
Event place (city) :	Kaiserslautern
Event country :	Germany
Keywords :	[en] Machine Learning ; Deep Learning ; Point Clouds ; geospatial big data
Funders :	Fonds européen de développement regional (FEDER)
Name of the research project :	R-AGR-3818-10 SOLSTICE
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/52645

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Open access	NurunnabiundTeferle07-10-22.pdf	Presentation as given	Publisher postprint	10.5 MB	View/Open

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