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ETH Zurich

Physics-informed Probabilistic Artificial Intelligence for Enhanced Stability Predictions in Milling

Degree

thesis:*
Grantor dc:publisher
ETH Zurich
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ostad Ali Akbari, Vahid; id_orcid0000-0002-4955-9281
Contributors dc:contributor
  • Wegener, Konrad
  • Mohr, Dirk
  • Budak, Erhan

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
  • In Copyright - Non-Commercial Use Permitted
Language dc:language
en

Identifiers

dc:identifier.*
Identifier
https://doi.org/10.3929/ethz-b-000673448
urn:isbn:978-3-907363-59-1
OAI identifier oai:identifier
oai:www.research-collection.ethz.ch:20.500.11850/673448

Chain of custody

source
Harvested from
ETH Zürich
Base URL
www.research-collection.ethz.ch/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Ostad Ali Akbari, Vahid; id_orcid0000-0002-4955-9281. Physics-informed Probabilistic Artificial Intelligence for Enhanced Stability Predictions in Milling. ETH Zurich, 2024. http://hdl.handle.net/20.500.11850/673448