Machine learning-based rock characterisation models for rotary-percussive drilling
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-269X
- Umfang
-
Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Machine learning-based rock characterisation models for rotary-percussive drilling ; day:16 ; month:6 ; year:2022 ; pages:1-21
Nonlinear dynamics ; (16.6.2022), 1-21
- Urheber
-
Afebu, Kenneth Omokhagbo
Liu, Yang
Papatheou, Evangelos
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11071-022-07565-6
- URN
-
urn:nbn:de:101:1-2022081019405249829064
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
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Beteiligte
- Afebu, Kenneth Omokhagbo
- Liu, Yang
- Papatheou, Evangelos
- SpringerLink (Online service)
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