Matches in SemOpenAlex for { <https://semopenalex.org/work/W2956106938> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2956106938 abstract "Electrochemical impedance spectroscopy (EIS) is an effective method for studying the electrochemical systems. The interpretation of EIS is the biggest challenge in this technology, which requires reasonable modeling. However, the modeling of EIS is of great subjectivity, meaning that there may be several models to fit the same set of data. In order to overcome the uncertainty and triviality of human analysis, this research uses machine learning to carry out EIS pattern recognition. Raw EIS data and their equivalent circuit models were collected from the literature, and the support vector machine (SVM) was used to analyze these data. As the result, we addresses the classification of EIS and recognizing their equivalent circuit models with accuracies of up to 78%. This study demonstrates the great potential of machine learning in electrochemical researches." @default.
- W2956106938 created "2019-07-12" @default.
- W2956106938 creator A5033929444 @default.
- W2956106938 creator A5039091156 @default.
- W2956106938 creator A5046671426 @default.
- W2956106938 creator A5060005951 @default.
- W2956106938 creator A5090219547 @default.
- W2956106938 date "2019-07-03" @default.
- W2956106938 modified "2023-09-23" @default.
- W2956106938 title "Equivalent Circuit Model Recognition of Electrochemical Impedance Spectroscopy via Machine Learning" @default.
- W2956106938 cites W1545192663 @default.
- W2956106938 cites W2101234009 @default.
- W2956106938 cites W2171543143 @default.
- W2956106938 cites W2890166665 @default.
- W2956106938 doi "https://doi.org/10.48550/arxiv.1907.01802" @default.
- W2956106938 hasPublicationYear "2019" @default.
- W2956106938 type Work @default.
- W2956106938 sameAs 2956106938 @default.
- W2956106938 citedByCount "0" @default.
- W2956106938 crossrefType "posted-content" @default.
- W2956106938 hasAuthorship W2956106938A5033929444 @default.
- W2956106938 hasAuthorship W2956106938A5039091156 @default.
- W2956106938 hasAuthorship W2956106938A5046671426 @default.
- W2956106938 hasAuthorship W2956106938A5060005951 @default.
- W2956106938 hasAuthorship W2956106938A5090219547 @default.
- W2956106938 hasBestOaLocation W29561069381 @default.
- W2956106938 hasConcept C119599485 @default.
- W2956106938 hasConcept C119857082 @default.
- W2956106938 hasConcept C12267149 @default.
- W2956106938 hasConcept C127413603 @default.
- W2956106938 hasConcept C147789679 @default.
- W2956106938 hasConcept C153180895 @default.
- W2956106938 hasConcept C154945302 @default.
- W2956106938 hasConcept C165801399 @default.
- W2956106938 hasConcept C17525397 @default.
- W2956106938 hasConcept C177264268 @default.
- W2956106938 hasConcept C17829176 @default.
- W2956106938 hasConcept C185592680 @default.
- W2956106938 hasConcept C199360897 @default.
- W2956106938 hasConcept C23572009 @default.
- W2956106938 hasConcept C24326235 @default.
- W2956106938 hasConcept C41008148 @default.
- W2956106938 hasConcept C52859227 @default.
- W2956106938 hasConcept C7040849 @default.
- W2956106938 hasConceptScore W2956106938C119599485 @default.
- W2956106938 hasConceptScore W2956106938C119857082 @default.
- W2956106938 hasConceptScore W2956106938C12267149 @default.
- W2956106938 hasConceptScore W2956106938C127413603 @default.
- W2956106938 hasConceptScore W2956106938C147789679 @default.
- W2956106938 hasConceptScore W2956106938C153180895 @default.
- W2956106938 hasConceptScore W2956106938C154945302 @default.
- W2956106938 hasConceptScore W2956106938C165801399 @default.
- W2956106938 hasConceptScore W2956106938C17525397 @default.
- W2956106938 hasConceptScore W2956106938C177264268 @default.
- W2956106938 hasConceptScore W2956106938C17829176 @default.
- W2956106938 hasConceptScore W2956106938C185592680 @default.
- W2956106938 hasConceptScore W2956106938C199360897 @default.
- W2956106938 hasConceptScore W2956106938C23572009 @default.
- W2956106938 hasConceptScore W2956106938C24326235 @default.
- W2956106938 hasConceptScore W2956106938C41008148 @default.
- W2956106938 hasConceptScore W2956106938C52859227 @default.
- W2956106938 hasConceptScore W2956106938C7040849 @default.
- W2956106938 hasLocation W29561069381 @default.
- W2956106938 hasLocation W29561069382 @default.
- W2956106938 hasOpenAccess W2956106938 @default.
- W2956106938 hasPrimaryLocation W29561069381 @default.
- W2956106938 hasRelatedWork W2041399278 @default.
- W2956106938 hasRelatedWork W2056016498 @default.
- W2956106938 hasRelatedWork W2136184105 @default.
- W2956106938 hasRelatedWork W2160451891 @default.
- W2956106938 hasRelatedWork W2336974148 @default.
- W2956106938 hasRelatedWork W2937631562 @default.
- W2956106938 hasRelatedWork W3174451172 @default.
- W2956106938 hasRelatedWork W4382021005 @default.
- W2956106938 hasRelatedWork W2187500075 @default.
- W2956106938 hasRelatedWork W2345184372 @default.
- W2956106938 isParatext "false" @default.
- W2956106938 isRetracted "false" @default.
- W2956106938 magId "2956106938" @default.
- W2956106938 workType "article" @default.