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001     1016597
005     20250930141841.0
024 7 _ |2 ISBN
|a 978-3-031-85702-7
024 7 _ |2 ISBN
|a 978-3-031-85703-4
024 7 _ |2 ISBN
|a 978-3-031-85704-1
024 7 _ |2 ISSN
|a 0302-9743
024 7 _ |2 ISSN
|a 1611-3349
024 7 _ |2 SCOPUS
|a SCOPUS:2-s2.0-105003152845
024 7 _ |2 WOS
|a WOS:001529693400006
024 7 _ |2 doi
|a 10.1007/978-3-031-85703-4_6
024 7 _ |2 datacite_doi
|a 10.18154/RWTH-2025-06986
037 _ _ |a RWTH-2025-06986
041 _ _ |a English
100 1 _ |a Rüttgers, Mario
|b 0
|e Corresponding author
111 2 _ |a 15. International Conference on Parallel Processing and Applied Mathematics-PPAM-Biennial
|c Ostrava
|d 2024-09-08 - 2024-09-11
|g PPAM 2024
|w Czech Republic
245 _ _ |a Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning
|h online
260 _ _ |a Cham
|b Springer
|c 2025
295 1 0 |a Parallel processing and applied mathematics : 15th international conference, PPAM 2024, Ostrava, Czech Republic, September 8-11, 2024 : revised selected papers, Part III / Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski, editors
300 _ _ |a 79-96
336 7 _ |0 33
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490 0 _ |a Lecture Notes in Computer Science
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588 _ _ |a Dataset connected to , , , CrossRef Book Series, Journals: publications.rwth-aachen.de
591 _ _ |a Germany
591 _ _ |a Japan
700 1 _ |0 P:(DE-82)IDM05244
|a Hübenthal, Fabian
|b 1
|u rwth
700 1 _ |0 0000-0001-6555-9575
|a Tsubokura, Makoto
|b 2
700 1 _ |0 P:(DE-82)IDM01819
|a Lintermann, Andreas
|b 3
|u rwth
856 4 _ |u https://publications.rwth-aachen.de/record/1016597/files/1016597.pdf
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914 1 _ |y 2025
915 1 _ |0 StatID:(DE-HGF)0041
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