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001     856872
005     20230328171648.0
024 7 _ |2 HBZ
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024 7 _ |2 Laufende Nummer
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037 _ _ |a RWTH-2022-11191
041 _ _ |a English
082 _ _ |a 610
100 1 _ |0 P:(DE-588)1275758932
|a Schilling, Maximilian Béla
|b 0
|u rwth
245 _ _ |a Reduction of platelet outdating and shortage by forecasting demand with statistical learning and deep neural networks : modeling study
|c vorgelegt von Maximilian Béla Schilling, B.Sc. RWTH
|h print
260 _ _ |a Aachen
|c 2022
300 _ _ |a 14 Seiten : Illustrationen, Diagramme
336 7 _ |0 2
|2 EndNote
|a Thesis
336 7 _ |0 PUB:(DE-HGF)11
|2 PUB:(DE-HGF)
|a Dissertation / PhD Thesis
|b phd
|m phd
336 7 _ |2 BibTeX
|a PHDTHESIS
336 7 _ |2 DRIVER
|a doctoralThesis
336 7 _ |2 DataCite
|a Output Types/Dissertation
336 7 _ |2 ORCID
|a DISSERTATION
502 _ _ |a Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2022
|b Dissertation
|c Rheinisch-Westfälische Technische Hochschule Aachen
|d 2022
|g Fak10
|o 2022-10-31
520 3 _ |a online nicht verfügbar
|l ger
520 _ _ |l eng
588 _ _ |a Dataset connected to Lobid/HBZ
591 _ _ |a Germany
700 1 _ |0 P:(DE-82)031732
|a Spreckelsen, Cord
|b 1
|e Thesis advisor
|u rwth
700 1 _ |0 P:(DE-82)069355
|a Röhrig, Rainer
|b 2
|e Thesis advisor
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787 0 _ |0 RWTH-CONV-250610
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909 C O |o oai:publications.rwth-aachen.de:856872
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914 1 _ |y 2022
920 1 _ |0 I:(DE-82)526500-2_20140620
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|x 0
980 _ _ |a I:(DE-82)526500-2_20140620
980 _ _ |a UNRESTRICTED
980 _ _ |a VDB
980 _ _ |a phd

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