Matches in SemOpenAlex for { <https://semopenalex.org/work/W3029449812> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W3029449812 endingPage "112982" @default.
- W3029449812 startingPage "112982" @default.
- W3029449812 abstract "This paper presents studies on modeling and algorithms for groundwater anomaly detection. Specifically, conductivity along with four other surrogates are used for identifying anomaly in groundwater, the one-class support vector machine (1-SVM) technique is utilized for model training, and real data from Colorado Water Watch is used for testing the model and algorithms. Design of code modules in Python is briefly discussed. Since groundwater contamination rarely happens in reality, we also use synthetic data from numerical simulations of flow and transport in porous media to test this model for anomaly detection." @default.
- W3029449812 created "2020-06-05" @default.
- W3029449812 creator A5006661999 @default.
- W3029449812 creator A5055152383 @default.
- W3029449812 creator A5064689659 @default.
- W3029449812 creator A5080543095 @default.
- W3029449812 date "2020-12-01" @default.
- W3029449812 modified "2023-10-12" @default.
- W3029449812 title "Machine learning and transport simulations for groundwater anomaly detection" @default.
- W3029449812 cites W1619215523 @default.
- W3029449812 cites W1805988227 @default.
- W3029449812 cites W1976331960 @default.
- W3029449812 cites W1982893988 @default.
- W3029449812 cites W1991897950 @default.
- W3029449812 cites W2006715653 @default.
- W3029449812 cites W2008698205 @default.
- W3029449812 cites W2030743756 @default.
- W3029449812 cites W2033559968 @default.
- W3029449812 cites W2053717624 @default.
- W3029449812 cites W2058549403 @default.
- W3029449812 cites W2074961490 @default.
- W3029449812 cites W2132870739 @default.
- W3029449812 cites W2319498944 @default.
- W3029449812 cites W2478420993 @default.
- W3029449812 cites W2556087308 @default.
- W3029449812 cites W2781098803 @default.
- W3029449812 cites W2890140708 @default.
- W3029449812 cites W2890183881 @default.
- W3029449812 cites W2917785432 @default.
- W3029449812 cites W2983751332 @default.
- W3029449812 doi "https://doi.org/10.1016/j.cam.2020.112982" @default.
- W3029449812 hasPublicationYear "2020" @default.
- W3029449812 type Work @default.
- W3029449812 sameAs 3029449812 @default.
- W3029449812 citedByCount "22" @default.
- W3029449812 countsByYear W30294498122020 @default.
- W3029449812 countsByYear W30294498122021 @default.
- W3029449812 countsByYear W30294498122022 @default.
- W3029449812 countsByYear W30294498122023 @default.
- W3029449812 crossrefType "journal-article" @default.
- W3029449812 hasAuthorship W3029449812A5006661999 @default.
- W3029449812 hasAuthorship W3029449812A5055152383 @default.
- W3029449812 hasAuthorship W3029449812A5064689659 @default.
- W3029449812 hasAuthorship W3029449812A5080543095 @default.
- W3029449812 hasBestOaLocation W30294498121 @default.
- W3029449812 hasConcept C11413529 @default.
- W3029449812 hasConcept C119857082 @default.
- W3029449812 hasConcept C121332964 @default.
- W3029449812 hasConcept C12267149 @default.
- W3029449812 hasConcept C124101348 @default.
- W3029449812 hasConcept C127313418 @default.
- W3029449812 hasConcept C12997251 @default.
- W3029449812 hasConcept C131227075 @default.
- W3029449812 hasConcept C187320778 @default.
- W3029449812 hasConcept C199360897 @default.
- W3029449812 hasConcept C26873012 @default.
- W3029449812 hasConcept C41008148 @default.
- W3029449812 hasConcept C519991488 @default.
- W3029449812 hasConcept C739882 @default.
- W3029449812 hasConcept C75622301 @default.
- W3029449812 hasConcept C76177295 @default.
- W3029449812 hasConceptScore W3029449812C11413529 @default.
- W3029449812 hasConceptScore W3029449812C119857082 @default.
- W3029449812 hasConceptScore W3029449812C121332964 @default.
- W3029449812 hasConceptScore W3029449812C12267149 @default.
- W3029449812 hasConceptScore W3029449812C124101348 @default.
- W3029449812 hasConceptScore W3029449812C127313418 @default.
- W3029449812 hasConceptScore W3029449812C12997251 @default.
- W3029449812 hasConceptScore W3029449812C131227075 @default.
- W3029449812 hasConceptScore W3029449812C187320778 @default.
- W3029449812 hasConceptScore W3029449812C199360897 @default.
- W3029449812 hasConceptScore W3029449812C26873012 @default.
- W3029449812 hasConceptScore W3029449812C41008148 @default.
- W3029449812 hasConceptScore W3029449812C519991488 @default.
- W3029449812 hasConceptScore W3029449812C739882 @default.
- W3029449812 hasConceptScore W3029449812C75622301 @default.
- W3029449812 hasConceptScore W3029449812C76177295 @default.
- W3029449812 hasFunder F4320306076 @default.
- W3029449812 hasLocation W30294498121 @default.
- W3029449812 hasOpenAccess W3029449812 @default.
- W3029449812 hasPrimaryLocation W30294498121 @default.
- W3029449812 hasRelatedWork W2042251007 @default.
- W3029449812 hasRelatedWork W2110365568 @default.
- W3029449812 hasRelatedWork W2360959443 @default.
- W3029449812 hasRelatedWork W2391943197 @default.
- W3029449812 hasRelatedWork W2984111956 @default.
- W3029449812 hasRelatedWork W3014664599 @default.
- W3029449812 hasRelatedWork W3046613693 @default.
- W3029449812 hasRelatedWork W4285225238 @default.
- W3029449812 hasRelatedWork W4296961221 @default.
- W3029449812 hasRelatedWork W4316658362 @default.
- W3029449812 hasVolume "380" @default.
- W3029449812 isParatext "false" @default.
- W3029449812 isRetracted "false" @default.
- W3029449812 magId "3029449812" @default.
- W3029449812 workType "article" @default.