Matches in SemOpenAlex for { <https://semopenalex.org/work/W2808077251> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2808077251 endingPage "12232" @default.
- W2808077251 startingPage "12223" @default.
- W2808077251 abstract "For Liquid Phase Sintered alumina, Hardness and Fracture Toughness are very important parameters for measure of wear and tear strength in ceramics. In this work, we apply Gaussian Process Regression and Minimax Probability Machine Regression for predicting hardness and fracture toughness. The performance of Gaussian Process Regression and Minimax Probability Machine Regression for predicting the hardness and fracture toughness is measured by using the correlation of coefficient or robustness (R). The Gaussian Process Regression outperforms over Minimax Probability Machine Regression and the Gaussian Process Regression is much more suitable for predicting the parameters of Liquid Phase Sintered alumina." @default.
- W2808077251 created "2018-06-21" @default.
- W2808077251 creator A5038682107 @default.
- W2808077251 creator A5053653451 @default.
- W2808077251 creator A5058591335 @default.
- W2808077251 date "2018-01-01" @default.
- W2808077251 modified "2023-09-30" @default.
- W2808077251 title "Prediction of Hardness and Fracture Toughness in Liquid-Phase-Sintered Alumina System Using Gaussian Process Regression and Minimax Probability Machine Regression" @default.
- W2808077251 cites W1977715424 @default.
- W2808077251 cites W1988159092 @default.
- W2808077251 cites W2006760347 @default.
- W2808077251 cites W2011129517 @default.
- W2808077251 cites W2011496696 @default.
- W2808077251 cites W2011819459 @default.
- W2808077251 cites W2016502526 @default.
- W2808077251 cites W2019883664 @default.
- W2808077251 cites W2022728210 @default.
- W2808077251 cites W2029634908 @default.
- W2808077251 cites W2033159649 @default.
- W2808077251 cites W2037062128 @default.
- W2808077251 cites W2037306524 @default.
- W2808077251 cites W2076401723 @default.
- W2808077251 cites W2082640612 @default.
- W2808077251 cites W2090592277 @default.
- W2808077251 cites W2093597521 @default.
- W2808077251 cites W2119222828 @default.
- W2808077251 cites W2145772931 @default.
- W2808077251 doi "https://doi.org/10.1016/j.matpr.2018.02.199" @default.
- W2808077251 hasPublicationYear "2018" @default.
- W2808077251 type Work @default.
- W2808077251 sameAs 2808077251 @default.
- W2808077251 citedByCount "4" @default.
- W2808077251 countsByYear W28080772512020 @default.
- W2808077251 countsByYear W28080772512022 @default.
- W2808077251 countsByYear W28080772512023 @default.
- W2808077251 crossrefType "journal-article" @default.
- W2808077251 hasAuthorship W2808077251A5038682107 @default.
- W2808077251 hasAuthorship W2808077251A5053653451 @default.
- W2808077251 hasAuthorship W2808077251A5058591335 @default.
- W2808077251 hasConcept C105795698 @default.
- W2808077251 hasConcept C121332964 @default.
- W2808077251 hasConcept C126255220 @default.
- W2808077251 hasConcept C149728462 @default.
- W2808077251 hasConcept C152877465 @default.
- W2808077251 hasConcept C159985019 @default.
- W2808077251 hasConcept C163716315 @default.
- W2808077251 hasConcept C192562407 @default.
- W2808077251 hasConcept C33923547 @default.
- W2808077251 hasConcept C48921125 @default.
- W2808077251 hasConcept C61326573 @default.
- W2808077251 hasConcept C62520636 @default.
- W2808077251 hasConcept C81692654 @default.
- W2808077251 hasConcept C83546350 @default.
- W2808077251 hasConcept C97549433 @default.
- W2808077251 hasConcept C99595764 @default.
- W2808077251 hasConceptScore W2808077251C105795698 @default.
- W2808077251 hasConceptScore W2808077251C121332964 @default.
- W2808077251 hasConceptScore W2808077251C126255220 @default.
- W2808077251 hasConceptScore W2808077251C149728462 @default.
- W2808077251 hasConceptScore W2808077251C152877465 @default.
- W2808077251 hasConceptScore W2808077251C159985019 @default.
- W2808077251 hasConceptScore W2808077251C163716315 @default.
- W2808077251 hasConceptScore W2808077251C192562407 @default.
- W2808077251 hasConceptScore W2808077251C33923547 @default.
- W2808077251 hasConceptScore W2808077251C48921125 @default.
- W2808077251 hasConceptScore W2808077251C61326573 @default.
- W2808077251 hasConceptScore W2808077251C62520636 @default.
- W2808077251 hasConceptScore W2808077251C81692654 @default.
- W2808077251 hasConceptScore W2808077251C83546350 @default.
- W2808077251 hasConceptScore W2808077251C97549433 @default.
- W2808077251 hasConceptScore W2808077251C99595764 @default.
- W2808077251 hasIssue "5" @default.
- W2808077251 hasLocation W28080772511 @default.
- W2808077251 hasOpenAccess W2808077251 @default.
- W2808077251 hasPrimaryLocation W28080772511 @default.
- W2808077251 hasRelatedWork W2030598798 @default.
- W2808077251 hasRelatedWork W2063381173 @default.
- W2808077251 hasRelatedWork W2064400776 @default.
- W2808077251 hasRelatedWork W2130232319 @default.
- W2808077251 hasRelatedWork W2318821300 @default.
- W2808077251 hasRelatedWork W3200276786 @default.
- W2808077251 hasRelatedWork W4206579646 @default.
- W2808077251 hasRelatedWork W4306887980 @default.
- W2808077251 hasRelatedWork W4310609311 @default.
- W2808077251 hasRelatedWork W4312290701 @default.
- W2808077251 hasVolume "5" @default.
- W2808077251 isParatext "false" @default.
- W2808077251 isRetracted "false" @default.
- W2808077251 magId "2808077251" @default.
- W2808077251 workType "article" @default.