Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Khalaj, Omid | |
dc.contributor.author | Ghobadi, Moslem | |
dc.contributor.author | Zarezadeh, Alireza | |
dc.contributor.author | Saebnoori, Ehsan | |
dc.contributor.author | Jirková, Hana | |
dc.contributor.author | Chocholatý, Ondřej | |
dc.contributor.author | Svoboda, Jiří | |
dc.date.accessioned | 2021-05-17T10:00:19Z | - |
dc.date.available | 2021-05-17T10:00:19Z | - |
dc.date.issued | 2021 | |
dc.identifier.citation | KHALAJ, O. GHOBADI, M. ZAREZADEH, A. SAEBNOORI, E. JIRKOVÁ, H. CHOCHOLATÝ, O. SVOBODA, J. Potential role of machine learning techniques for modeling the hardness of OPH steels. Materials Today Communications, 2021, roč. 26, č. March 2021. ISSN 2352-4928. | cs |
dc.identifier.issn | 2352-4928 | |
dc.identifier.uri | 2-s2.0-85095758378 | |
dc.identifier.uri | http://hdl.handle.net/11025/43205 | |
dc.format | 12 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.relation.ispartofseries | Materials Today Communications | en |
dc.rights | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. | cs |
dc.rights | © Elsevier | en |
dc.title | Potential role of machine learning techniques for modeling the hardness of OPH steels | en |
dc.type | článek | cs |
dc.type | article | en |
dc.rights.access | restrictedAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | This paper examines the influence of Johannes Crato and the seminal treatises on medicine and botany written by leading Central European scholars during the early modern period on the erudition and genesis of poetic work of the Elizabethan poet Philip Sidney. Johannes Crato (1519-1585), later von Krafftheim, who originally comes from Breslau, is known to be the physician of all three Habsburg emperors, i.e. Ferdinand I., Maximilian II. and Rudolph II., and is a part of the Camerarius-Languet circle, as such have a huge influence within the European intellectual network. | en |
dc.subject.translated | Oxide Precipitation Hardened (OPH) steels | en |
dc.subject.translated | Hardness | en |
dc.subject.translated | Heat treatment | en |
dc.subject.translated | artificial neural network (ANN) ANFIS | en |
dc.subject.translated | Fe–Al–O | en |
dc.identifier.doi | 10.1016/j.mtcomm.2020.101806 | |
dc.type.status | Peer-reviewed | en |
dc.identifier.document-number | 634320600004 | |
dc.identifier.obd | 43930714 | |
dc.project.ID | GA17-01641S/Zlepšení vlastností a komplexní charakterizace nové generace oxidy precipitačně vytvrzených ocelí na bázi Fe-Al-O | cs |
Vyskytuje se v kolekcích: | Články / Articles (KMM) Články / Articles (RTI) OBD |
Soubory připojené k záznamu:
Soubor | Velikost | Formát | |
---|---|---|---|
1-s2.0-S2352492820328178-main-2.pdf | 5,93 MB | Adobe PDF | Zobrazit/otevřít Vyžádat kopii |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/43205
Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.