Matches in SemOpenAlex for { <https://semopenalex.org/work/W3193592967> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W3193592967 endingPage "1518" @default.
- W3193592967 startingPage "1518" @default.
- W3193592967 abstract "One way to optimize wastewater treatment system infrastructure, its operations, monitoring, maintenance and management is through development of smart forecasting, monitoring and failure prediction systems using machine learning modeling. The aim of this paper was to develop a model that was able to predict a water pump failure based on the asymmetrical type of data obtained from sensors such as water levels, capacity, current and flow values. Several machine learning classification algorithms were used for predicting water pump failure. Using the classification algorithms, it was possible to make predictions of future values with a simple input of current values, as well as predicting probabilities of each sample belonging to each class. In order to build a prediction model, an asymmetrical type dataset containing the aforementioned variables was used." @default.
- W3193592967 created "2021-08-30" @default.
- W3193592967 creator A5011020309 @default.
- W3193592967 creator A5016429883 @default.
- W3193592967 creator A5050797813 @default.
- W3193592967 creator A5074555105 @default.
- W3193592967 date "2021-08-18" @default.
- W3193592967 modified "2023-09-23" @default.
- W3193592967 title "Wastewater Plant Reliability Prediction Using the Machine Learning Classification Algorithms" @default.
- W3193592967 cites W1484370173 @default.
- W3193592967 cites W1995875735 @default.
- W3193592967 cites W2029711682 @default.
- W3193592967 cites W2044523229 @default.
- W3193592967 cites W2046459677 @default.
- W3193592967 cites W2048180686 @default.
- W3193592967 cites W2067956254 @default.
- W3193592967 cites W2086587356 @default.
- W3193592967 cites W2093584539 @default.
- W3193592967 cites W2122111042 @default.
- W3193592967 cites W2132839152 @default.
- W3193592967 cites W2467200550 @default.
- W3193592967 cites W2523456799 @default.
- W3193592967 cites W2574388714 @default.
- W3193592967 cites W2606436201 @default.
- W3193592967 cites W2766552677 @default.
- W3193592967 cites W2834866711 @default.
- W3193592967 cites W2911964244 @default.
- W3193592967 cites W2957524790 @default.
- W3193592967 cites W2980414634 @default.
- W3193592967 cites W2986993125 @default.
- W3193592967 cites W3011889750 @default.
- W3193592967 cites W3015201444 @default.
- W3193592967 cites W3020437557 @default.
- W3193592967 cites W3030695937 @default.
- W3193592967 cites W3046045515 @default.
- W3193592967 doi "https://doi.org/10.3390/sym13081518" @default.
- W3193592967 hasPublicationYear "2021" @default.
- W3193592967 type Work @default.
- W3193592967 sameAs 3193592967 @default.
- W3193592967 citedByCount "5" @default.
- W3193592967 countsByYear W31935929672022 @default.
- W3193592967 countsByYear W31935929672023 @default.
- W3193592967 crossrefType "journal-article" @default.
- W3193592967 hasAuthorship W3193592967A5011020309 @default.
- W3193592967 hasAuthorship W3193592967A5016429883 @default.
- W3193592967 hasAuthorship W3193592967A5050797813 @default.
- W3193592967 hasAuthorship W3193592967A5074555105 @default.
- W3193592967 hasBestOaLocation W31935929671 @default.
- W3193592967 hasConcept C11413529 @default.
- W3193592967 hasConcept C119857082 @default.
- W3193592967 hasConcept C121332964 @default.
- W3193592967 hasConcept C124101348 @default.
- W3193592967 hasConcept C154945302 @default.
- W3193592967 hasConcept C163258240 @default.
- W3193592967 hasConcept C185592680 @default.
- W3193592967 hasConcept C198531522 @default.
- W3193592967 hasConcept C41008148 @default.
- W3193592967 hasConcept C43214815 @default.
- W3193592967 hasConcept C43617362 @default.
- W3193592967 hasConcept C62520636 @default.
- W3193592967 hasConceptScore W3193592967C11413529 @default.
- W3193592967 hasConceptScore W3193592967C119857082 @default.
- W3193592967 hasConceptScore W3193592967C121332964 @default.
- W3193592967 hasConceptScore W3193592967C124101348 @default.
- W3193592967 hasConceptScore W3193592967C154945302 @default.
- W3193592967 hasConceptScore W3193592967C163258240 @default.
- W3193592967 hasConceptScore W3193592967C185592680 @default.
- W3193592967 hasConceptScore W3193592967C198531522 @default.
- W3193592967 hasConceptScore W3193592967C41008148 @default.
- W3193592967 hasConceptScore W3193592967C43214815 @default.
- W3193592967 hasConceptScore W3193592967C43617362 @default.
- W3193592967 hasConceptScore W3193592967C62520636 @default.
- W3193592967 hasIssue "8" @default.
- W3193592967 hasLocation W31935929671 @default.
- W3193592967 hasOpenAccess W3193592967 @default.
- W3193592967 hasPrimaryLocation W31935929671 @default.
- W3193592967 hasRelatedWork W2961085424 @default.
- W3193592967 hasRelatedWork W3046775127 @default.
- W3193592967 hasRelatedWork W3170094116 @default.
- W3193592967 hasRelatedWork W4205958290 @default.
- W3193592967 hasRelatedWork W4225307033 @default.
- W3193592967 hasRelatedWork W4285260836 @default.
- W3193592967 hasRelatedWork W4286629047 @default.
- W3193592967 hasRelatedWork W4306321456 @default.
- W3193592967 hasRelatedWork W4306674287 @default.
- W3193592967 hasRelatedWork W4224009465 @default.
- W3193592967 hasVolume "13" @default.
- W3193592967 isParatext "false" @default.
- W3193592967 isRetracted "false" @default.
- W3193592967 magId "3193592967" @default.
- W3193592967 workType "article" @default.