h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning

; ; ;

In
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, Seiten/Artikel-Nr: 79-96

Konferenz/Event:15. International Conference on Parallel Processing and Applied Mathematics-PPAM-Biennial , Ostrava , Czech Republic , PPAM 2024 , 2024-09-08 - 2024-09-11

ImpressumCham : Springer

Umfang79-96

ISBN978-3-031-85702-7, 978-3-031-85703-4, 978-3-031-85704-1

ReiheLecture Notes in Computer Science ; 15581

Online
DOI: 10.1007/978-3-031-85703-4_6

DOI: 10.18154/RWTH-2025-06986
URL: https://publications.rwth-aachen.de/record/1016597/files/1016597.pdf

Einrichtungen

  1. Lehrstuhl für Strömungsmechanik und Aerodynamisches Institut (415110)


OpenAccess:
Download fulltext PDF

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105003152845
WOS Core Collection: WOS:001529693400006

Interne Identnummern
RWTH-2025-06986
Datensatz-ID: 1016597

Beteiligte Länder
Germany, Japan

 GO

Creative Commons Attribution CC BY 4.0 ; OpenAccess ; NationallizenzNationallizenz ; SCOPUS
QR Code for this record

The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
Publication server / Open Access
Public records
Publications database
415110
 Record created 2025-08-18, last modified 2025-09-30
Similar records


OpenAccess:
Download fulltext PDF
Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)