Matches in SemOpenAlex for { <https://semopenalex.org/work/W3150289764> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3150289764 abstract "In this paper, we are concerned about the air pollution & Air Quality Index (AQI) level. Today, every major city around the world is facing a worsened situation about public health & environmental disturbance. So, we have proposed an IoT-based solution that evolved with cloud computing platform likes Microsoft Azure, Azure IoT Hub and Azure machine learning (AML). These enhanced the scalability and life cycle of the system. The system classifies the health effects of human life from the air quality index level and gives interactive real-time data visualization results and push notification through the system. We have worked on Dhaka’s air quality dataset. Among major criteria pollutants, we have focused on PM(_{2.5}), PM(_{10}), CO, SO(_{2}), NO(_{2}) that can help us to classify the air quality index level. Multiple classification algorithm is used to train the dataset. Among them, we have acquired the highest accuracy 99.89% with multiclass decision forest." @default.
- W3150289764 created "2021-04-13" @default.
- W3150289764 creator A5000420897 @default.
- W3150289764 creator A5015741271 @default.
- W3150289764 creator A5072016096 @default.
- W3150289764 date "2021-01-01" @default.
- W3150289764 modified "2023-10-16" @default.
- W3150289764 title "Air Quality Index Prediction Using Azure IoT & Machine Learning for Smart Cities" @default.
- W3150289764 cites W2749596937 @default.
- W3150289764 cites W2774203468 @default.
- W3150289764 cites W2775938423 @default.
- W3150289764 cites W2791286838 @default.
- W3150289764 cites W2890532160 @default.
- W3150289764 cites W2902005578 @default.
- W3150289764 cites W2908818061 @default.
- W3150289764 cites W2925041732 @default.
- W3150289764 cites W2979486939 @default.
- W3150289764 cites W2982067023 @default.
- W3150289764 doi "https://doi.org/10.1007/978-981-33-4968-1_56" @default.
- W3150289764 hasPublicationYear "2021" @default.
- W3150289764 type Work @default.
- W3150289764 sameAs 3150289764 @default.
- W3150289764 citedByCount "0" @default.
- W3150289764 crossrefType "book-chapter" @default.
- W3150289764 hasAuthorship W3150289764A5000420897 @default.
- W3150289764 hasAuthorship W3150289764A5015741271 @default.
- W3150289764 hasAuthorship W3150289764A5072016096 @default.
- W3150289764 hasConcept C111919701 @default.
- W3150289764 hasConcept C119857082 @default.
- W3150289764 hasConcept C126314574 @default.
- W3150289764 hasConcept C136764020 @default.
- W3150289764 hasConcept C153294291 @default.
- W3150289764 hasConcept C154945302 @default.
- W3150289764 hasConcept C178790620 @default.
- W3150289764 hasConcept C185592680 @default.
- W3150289764 hasConcept C205649164 @default.
- W3150289764 hasConcept C2777382242 @default.
- W3150289764 hasConcept C2987853052 @default.
- W3150289764 hasConcept C38652104 @default.
- W3150289764 hasConcept C41008148 @default.
- W3150289764 hasConcept C48044578 @default.
- W3150289764 hasConcept C559116025 @default.
- W3150289764 hasConcept C77088390 @default.
- W3150289764 hasConcept C79403827 @default.
- W3150289764 hasConcept C79974875 @default.
- W3150289764 hasConcept C81860439 @default.
- W3150289764 hasConceptScore W3150289764C111919701 @default.
- W3150289764 hasConceptScore W3150289764C119857082 @default.
- W3150289764 hasConceptScore W3150289764C126314574 @default.
- W3150289764 hasConceptScore W3150289764C136764020 @default.
- W3150289764 hasConceptScore W3150289764C153294291 @default.
- W3150289764 hasConceptScore W3150289764C154945302 @default.
- W3150289764 hasConceptScore W3150289764C178790620 @default.
- W3150289764 hasConceptScore W3150289764C185592680 @default.
- W3150289764 hasConceptScore W3150289764C205649164 @default.
- W3150289764 hasConceptScore W3150289764C2777382242 @default.
- W3150289764 hasConceptScore W3150289764C2987853052 @default.
- W3150289764 hasConceptScore W3150289764C38652104 @default.
- W3150289764 hasConceptScore W3150289764C41008148 @default.
- W3150289764 hasConceptScore W3150289764C48044578 @default.
- W3150289764 hasConceptScore W3150289764C559116025 @default.
- W3150289764 hasConceptScore W3150289764C77088390 @default.
- W3150289764 hasConceptScore W3150289764C79403827 @default.
- W3150289764 hasConceptScore W3150289764C79974875 @default.
- W3150289764 hasConceptScore W3150289764C81860439 @default.
- W3150289764 hasLocation W31502897641 @default.
- W3150289764 hasOpenAccess W3150289764 @default.
- W3150289764 hasPrimaryLocation W31502897641 @default.
- W3150289764 hasRelatedWork W10931660 @default.
- W3150289764 hasRelatedWork W11165844 @default.
- W3150289764 hasRelatedWork W12242549 @default.
- W3150289764 hasRelatedWork W2076915 @default.
- W3150289764 hasRelatedWork W2701911 @default.
- W3150289764 hasRelatedWork W271214 @default.
- W3150289764 hasRelatedWork W3127276 @default.
- W3150289764 hasRelatedWork W3989876 @default.
- W3150289764 hasRelatedWork W3990674 @default.
- W3150289764 hasRelatedWork W7903576 @default.
- W3150289764 isParatext "false" @default.
- W3150289764 isRetracted "false" @default.
- W3150289764 magId "3150289764" @default.
- W3150289764 workType "book-chapter" @default.