Inline-Analysen von Stoffströmen mittels Machine Learning in der Rohstoffindustrie

Wendel, Tobias (Corresponding author)^RWTH* ; Vraetz, Tobias (Corresponding author)^RWTH* ; Baltes, Ralph (Corresponding author)^RWTH* ; Nienhaus, Karl (Corresponding author)^RWTH* ; Clausen, Elisabeth (Corresponding author)^RWTH*

In
GeoResources / Zeitschrift 6(1), Seiten/Artikel-Nr.:51-56

2019

ImpressumDuisburg : GeoResources Portal Manfred König

ISSN2364-8414

Online
URL: https://www.georesources.net/download/GeoResources-Zeitschrift-1-2019.pdf

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Dokumenttyp
Journal Article

Format
online, print

Sprache
German

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Peer review status of article unknown

Interne Identnummern
RWTH-2019-03460
Datensatz-ID: 759289

Beteiligte Länder
Germany, Netherlands

Lizenzstatus der Zeitschrift

Related:

Journal Article Wendel, T. (Corresponding author)RWTH* ; Vraetz, T. (Corresponding author) ; Baltes, R. (Corresponding author) ; Nienhaus, K. (Corresponding author)RWTH* ; Clausen, E. (Corresponding author)RWTH*
Inline Analyses of Material Flows by Means of Machine Learning in the Raw Materials Industry
GeoResources / Journal 6(1), 57-62 (2019)2019 Fulltext BibTeX | EndNote: XML, Text | RIS

Record created 2019-04-09, last modified 2025-09-30

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