FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3034202893> ?p ?o ?g. }

• W3034202893 endingPage "106970" @default.
• W3034202893 startingPage "106970" @default.
• W3034202893 abstract "As IoT-enabled manufacturing is still in its infancy, there are several key research gaps that need to be addressed. These gaps include the understanding of the characteristics of the big data generated from industrial IoT sensors, the challenges they present to process data analytics, as well as the specific opportunities that the IoT big data could bring to advance manufacturing. In this paper, we use an inhouse-developed IoT-enabled manufacturing testbed to study the characteristics of the big data generated from the testbed. Since the quality of the data usually has the most impact on process modeling, data veracity is often the most challenging characteristic of big data. To address that, we explore the role of feature engineering in developing effective machine learning models for predicting key process variables. We compare complex deep learning approaches to a simple statistical learning approach, with different level or extent of feature engineering, to explore their pros and cons for potential industrial IoT-enabled manufacturing applications." @default.
• W3034202893 created "2020-06-19" @default.
• W3034202893 creator A5018244700 @default.
• W3034202893 creator A5050980626 @default.
• W3034202893 creator A5072979181 @default.
• W3034202893 date "2020-10-01" @default.
• W3034202893 modified "2023-10-16" @default.
• W3034202893 title "Feature engineering in big data analytics for IoT-enabled smart manufacturing – Comparison between deep learning and statistical learning" @default.
• W3034202893 cites W1498436455 @default.
• W3034202893 cites W1974618482 @default.
• W3034202893 cites W1996195892 @default.
• W3034202893 cites W2031702523 @default.
• W3034202893 cites W2043373657 @default.
• W3034202893 cites W2063255184 @default.
• W3034202893 cites W2064507803 @default.
• W3034202893 cites W2064675550 @default.
• W3034202893 cites W2123753389 @default.
• W3034202893 cites W2145159661 @default.
• W3034202893 cites W2163922914 @default.
• W3034202893 cites W2571186542 @default.
• W3034202893 cites W2734575787 @default.
• W3034202893 cites W2767609916 @default.
• W3034202893 cites W2771499866 @default.
• W3034202893 cites W2793012220 @default.
• W3034202893 cites W2806930033 @default.
• W3034202893 cites W2885421553 @default.
• W3034202893 cites W2885528243 @default.
• W3034202893 cites W2887977890 @default.
• W3034202893 cites W2903010511 @default.
• W3034202893 cites W2943368907 @default.
• W3034202893 cites W3004701601 @default.
• W3034202893 doi "https://doi.org/10.1016/j.compchemeng.2020.106970" @default.
• W3034202893 hasPublicationYear "2020" @default.
• W3034202893 type Work @default.
• W3034202893 sameAs 3034202893 @default.
• W3034202893 citedByCount "37" @default.
• W3034202893 countsByYear W30342028932020 @default.
• W3034202893 countsByYear W30342028932021 @default.
• W3034202893 countsByYear W30342028932022 @default.
• W3034202893 countsByYear W30342028932023 @default.
• W3034202893 crossrefType "journal-article" @default.
• W3034202893 hasAuthorship W3034202893A5018244700 @default.
• W3034202893 hasAuthorship W3034202893A5050980626 @default.
• W3034202893 hasAuthorship W3034202893A5072979181 @default.
• W3034202893 hasBestOaLocation W30342028931 @default.
• W3034202893 hasConcept C108583219 @default.
• W3034202893 hasConcept C111919701 @default.
• W3034202893 hasConcept C119857082 @default.
• W3034202893 hasConcept C124101348 @default.
• W3034202893 hasConcept C127413603 @default.
• W3034202893 hasConcept C136764020 @default.
• W3034202893 hasConcept C13736549 @default.
• W3034202893 hasConcept C138885662 @default.
• W3034202893 hasConcept C149635348 @default.
• W3034202893 hasConcept C154945302 @default.
• W3034202893 hasConcept C175801342 @default.
• W3034202893 hasConcept C2522767166 @default.
• W3034202893 hasConcept C26517878 @default.
• W3034202893 hasConcept C2776401178 @default.
• W3034202893 hasConcept C2778827112 @default.
• W3034202893 hasConcept C31395832 @default.
• W3034202893 hasConcept C38652104 @default.
• W3034202893 hasConcept C41008148 @default.
• W3034202893 hasConcept C41895202 @default.
• W3034202893 hasConcept C75684735 @default.
• W3034202893 hasConcept C79158427 @default.
• W3034202893 hasConcept C81860439 @default.
• W3034202893 hasConcept C98045186 @default.
• W3034202893 hasConceptScore W3034202893C108583219 @default.
• W3034202893 hasConceptScore W3034202893C111919701 @default.
• W3034202893 hasConceptScore W3034202893C119857082 @default.
• W3034202893 hasConceptScore W3034202893C124101348 @default.
• W3034202893 hasConceptScore W3034202893C127413603 @default.
• W3034202893 hasConceptScore W3034202893C136764020 @default.
• W3034202893 hasConceptScore W3034202893C13736549 @default.
• W3034202893 hasConceptScore W3034202893C138885662 @default.
• W3034202893 hasConceptScore W3034202893C149635348 @default.
• W3034202893 hasConceptScore W3034202893C154945302 @default.
• W3034202893 hasConceptScore W3034202893C175801342 @default.
• W3034202893 hasConceptScore W3034202893C2522767166 @default.
• W3034202893 hasConceptScore W3034202893C26517878 @default.
• W3034202893 hasConceptScore W3034202893C2776401178 @default.
• W3034202893 hasConceptScore W3034202893C2778827112 @default.
• W3034202893 hasConceptScore W3034202893C31395832 @default.
• W3034202893 hasConceptScore W3034202893C38652104 @default.
• W3034202893 hasConceptScore W3034202893C41008148 @default.
• W3034202893 hasConceptScore W3034202893C41895202 @default.
• W3034202893 hasConceptScore W3034202893C75684735 @default.
• W3034202893 hasConceptScore W3034202893C79158427 @default.
• W3034202893 hasConceptScore W3034202893C81860439 @default.
• W3034202893 hasConceptScore W3034202893C98045186 @default.
• W3034202893 hasFunder F4320306076 @default.
• W3034202893 hasLocation W30342028931 @default.
• W3034202893 hasOpenAccess W3034202893 @default.
• W3034202893 hasPrimaryLocation W30342028931 @default.
• W3034202893 hasRelatedWork W2462007151 @default.
• W3034202893 hasRelatedWork W2794907032 @default.
• W3034202893 hasRelatedWork W2796632413 @default.

• next