Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283023340> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4283023340 abstract "The monitoring system has become a crucial concept for decision-making and management because of the development of data output in the industrial business. It is possible to use sensor-based technologies, such as the Internet of Things (IoT), to monitor the manufacturing process effectively. IoT and Machine Learning (ML) are offered in this study as a solution for monitoring the production system. Specifically, there is a paucity of cloud-based manufacturing equipment that can provide on-demand manufacturing services through the Internet in this study. The technical problems and enabling technologies of cloud-based manufacturing equipment are discussed in detail in this paper. Data from preprocessed time series data is transmitted to cloud services for trend prediction and data completion using a large short-term memory recurrent neural network, a first-order forward difference, and the original sequence of historical data, and the results are returned. In time-series data processing, machine learning may considerably enhance the efficiency and accuracy, as evidenced by the results of the IIoT oil production IIoT system." @default.
- W4283023340 created "2022-06-18" @default.
- W4283023340 creator A5034382817 @default.
- W4283023340 creator A5048002903 @default.
- W4283023340 creator A5057198223 @default.
- W4283023340 creator A5067682167 @default.
- W4283023340 creator A5069505774 @default.
- W4283023340 creator A5082362536 @default.
- W4283023340 date "2022-05-09" @default.
- W4283023340 modified "2023-10-18" @default.
- W4283023340 title "A Real- Time Machine learning based cloud computing Architecture for Smart Manufacturing" @default.
- W4283023340 cites W2783085497 @default.
- W4283023340 cites W2787232848 @default.
- W4283023340 cites W2807587809 @default.
- W4283023340 cites W2889547515 @default.
- W4283023340 cites W2891713004 @default.
- W4283023340 cites W2902323097 @default.
- W4283023340 cites W2973613123 @default.
- W4283023340 cites W2979431126 @default.
- W4283023340 cites W2980856918 @default.
- W4283023340 cites W3004207920 @default.
- W4283023340 cites W3080995048 @default.
- W4283023340 cites W3090041645 @default.
- W4283023340 cites W3101117497 @default.
- W4283023340 cites W3105324058 @default.
- W4283023340 cites W3135594516 @default.
- W4283023340 doi "https://doi.org/10.1109/icaaic53929.2022.9792860" @default.
- W4283023340 hasPublicationYear "2022" @default.
- W4283023340 type Work @default.
- W4283023340 citedByCount "2" @default.
- W4283023340 countsByYear W42830233402022 @default.
- W4283023340 countsByYear W42830233402023 @default.
- W4283023340 crossrefType "proceedings-article" @default.
- W4283023340 hasAuthorship W4283023340A5034382817 @default.
- W4283023340 hasAuthorship W4283023340A5048002903 @default.
- W4283023340 hasAuthorship W4283023340A5057198223 @default.
- W4283023340 hasAuthorship W4283023340A5067682167 @default.
- W4283023340 hasAuthorship W4283023340A5069505774 @default.
- W4283023340 hasAuthorship W4283023340A5082362536 @default.
- W4283023340 hasConcept C110875604 @default.
- W4283023340 hasConcept C111919701 @default.
- W4283023340 hasConcept C120314980 @default.
- W4283023340 hasConcept C127413603 @default.
- W4283023340 hasConcept C13736549 @default.
- W4283023340 hasConcept C149635348 @default.
- W4283023340 hasConcept C154945302 @default.
- W4283023340 hasConcept C175700187 @default.
- W4283023340 hasConcept C17744445 @default.
- W4283023340 hasConcept C199539241 @default.
- W4283023340 hasConcept C202839342 @default.
- W4283023340 hasConcept C2778819808 @default.
- W4283023340 hasConcept C41008148 @default.
- W4283023340 hasConcept C79403827 @default.
- W4283023340 hasConcept C79974875 @default.
- W4283023340 hasConcept C81860439 @default.
- W4283023340 hasConcept C98045186 @default.
- W4283023340 hasConceptScore W4283023340C110875604 @default.
- W4283023340 hasConceptScore W4283023340C111919701 @default.
- W4283023340 hasConceptScore W4283023340C120314980 @default.
- W4283023340 hasConceptScore W4283023340C127413603 @default.
- W4283023340 hasConceptScore W4283023340C13736549 @default.
- W4283023340 hasConceptScore W4283023340C149635348 @default.
- W4283023340 hasConceptScore W4283023340C154945302 @default.
- W4283023340 hasConceptScore W4283023340C175700187 @default.
- W4283023340 hasConceptScore W4283023340C17744445 @default.
- W4283023340 hasConceptScore W4283023340C199539241 @default.
- W4283023340 hasConceptScore W4283023340C202839342 @default.
- W4283023340 hasConceptScore W4283023340C2778819808 @default.
- W4283023340 hasConceptScore W4283023340C41008148 @default.
- W4283023340 hasConceptScore W4283023340C79403827 @default.
- W4283023340 hasConceptScore W4283023340C79974875 @default.
- W4283023340 hasConceptScore W4283023340C81860439 @default.
- W4283023340 hasConceptScore W4283023340C98045186 @default.
- W4283023340 hasLocation W42830233401 @default.
- W4283023340 hasOpenAccess W4283023340 @default.
- W4283023340 hasPrimaryLocation W42830233401 @default.
- W4283023340 hasRelatedWork W2129840796 @default.
- W4283023340 hasRelatedWork W2210378335 @default.
- W4283023340 hasRelatedWork W2323359330 @default.
- W4283023340 hasRelatedWork W2357373602 @default.
- W4283023340 hasRelatedWork W2397645311 @default.
- W4283023340 hasRelatedWork W2550930058 @default.
- W4283023340 hasRelatedWork W2889870907 @default.
- W4283023340 hasRelatedWork W3017209816 @default.
- W4283023340 hasRelatedWork W4206999807 @default.
- W4283023340 hasRelatedWork W4297153902 @default.
- W4283023340 isParatext "false" @default.
- W4283023340 isRetracted "false" @default.
- W4283023340 workType "article" @default.