FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387582185> ?p ?o ?g. }

• W4387582185 endingPage "100914" @default.
• W4387582185 startingPage "100914" @default.
• W4387582185 abstract "Air quality monitoring is a significant job in our everyday life and affects the vitality of a human. It paves a better way of understanding the sources, effects and levels of pollutants in the air inhaled by the population of the region. This concept helps us in improving and developing pollution control measures to diminish the effect of air contamination. Air Quality Index (AQI) helps in understanding the level of pollution. This study briefs various state of art methods such as SVM, RF,ANN, RNN and FL in predicting air quality using machine learning. The results shows prominent outcomes which can be deployed in various cost effective hardware platforms for household and commercial purposes. The proposed model used eight parameters like NO2CO, O3, PM2.5, PM10, SO2, TEMP, PRES, DEWP, RAIN,WD, WSPM of Beijing dataset in order to predict AQI and it is tested with regional dataset. The Proposed model works based on process monitoring model. The efficient and flexible way to solve environmental issues is to combine machine learning algorithm with air quality prediction." @default.
• W4387582185 created "2023-10-13" @default.
• W4387582185 creator A5036514213 @default.
• W4387582185 creator A5040181089 @default.
• W4387582185 creator A5053508392 @default.
• W4387582185 creator A5062201664 @default.
• W4387582185 creator A5070910214 @default.
• W4387582185 date "2023-10-01" @default.
• W4387582185 modified "2023-10-14" @default.
• W4387582185 title "An ensembled method for air quality monitoring and control using machine learning" @default.
• W4387582185 cites W1984533631 @default.
• W4387582185 cites W2084003102 @default.
• W4387582185 cites W2084547407 @default.
• W4387582185 cites W2168223083 @default.
• W4387582185 cites W2273369949 @default.
• W4387582185 cites W2599875507 @default.
• W4387582185 cites W2778213743 @default.
• W4387582185 cites W2792885898 @default.
• W4387582185 cites W2805541293 @default.
• W4387582185 cites W2886875452 @default.
• W4387582185 cites W2947059554 @default.
• W4387582185 cites W2978666148 @default.
• W4387582185 cites W3145103382 @default.
• W4387582185 cites W4212771256 @default.
• W4387582185 doi "https://doi.org/10.1016/j.measen.2023.100914" @default.
• W4387582185 hasPublicationYear "2023" @default.
• W4387582185 type Work @default.
• W4387582185 citedByCount "0" @default.
• W4387582185 crossrefType "journal-article" @default.
• W4387582185 hasAuthorship W4387582185A5036514213 @default.
• W4387582185 hasAuthorship W4387582185A5040181089 @default.
• W4387582185 hasAuthorship W4387582185A5053508392 @default.
• W4387582185 hasAuthorship W4387582185A5062201664 @default.
• W4387582185 hasAuthorship W4387582185A5070910214 @default.
• W4387582185 hasBestOaLocation W43875821851 @default.
• W4387582185 hasConcept C111919701 @default.
• W4387582185 hasConcept C119857082 @default.
• W4387582185 hasConcept C12267149 @default.
• W4387582185 hasConcept C126314574 @default.
• W4387582185 hasConcept C138885662 @default.
• W4387582185 hasConcept C153294291 @default.
• W4387582185 hasConcept C154945302 @default.
• W4387582185 hasConcept C166957645 @default.
• W4387582185 hasConcept C178790620 @default.
• W4387582185 hasConcept C185592680 @default.
• W4387582185 hasConcept C18903297 @default.
• W4387582185 hasConcept C191935318 @default.
• W4387582185 hasConcept C205649164 @default.
• W4387582185 hasConcept C27206212 @default.
• W4387582185 hasConcept C2775924081 @default.
• W4387582185 hasConcept C2778304055 @default.
• W4387582185 hasConcept C2779829227 @default.
• W4387582185 hasConcept C2780150128 @default.
• W4387582185 hasConcept C3019654008 @default.
• W4387582185 hasConcept C39432304 @default.
• W4387582185 hasConcept C41008148 @default.
• W4387582185 hasConcept C50644808 @default.
• W4387582185 hasConcept C521259446 @default.
• W4387582185 hasConcept C559116025 @default.
• W4387582185 hasConcept C86803240 @default.
• W4387582185 hasConcept C87717796 @default.
• W4387582185 hasConcept C98045186 @default.
• W4387582185 hasConceptScore W4387582185C111919701 @default.
• W4387582185 hasConceptScore W4387582185C119857082 @default.
• W4387582185 hasConceptScore W4387582185C12267149 @default.
• W4387582185 hasConceptScore W4387582185C126314574 @default.
• W4387582185 hasConceptScore W4387582185C138885662 @default.
• W4387582185 hasConceptScore W4387582185C153294291 @default.
• W4387582185 hasConceptScore W4387582185C154945302 @default.
• W4387582185 hasConceptScore W4387582185C166957645 @default.
• W4387582185 hasConceptScore W4387582185C178790620 @default.
• W4387582185 hasConceptScore W4387582185C185592680 @default.
• W4387582185 hasConceptScore W4387582185C18903297 @default.
• W4387582185 hasConceptScore W4387582185C191935318 @default.
• W4387582185 hasConceptScore W4387582185C205649164 @default.
• W4387582185 hasConceptScore W4387582185C27206212 @default.
• W4387582185 hasConceptScore W4387582185C2775924081 @default.
• W4387582185 hasConceptScore W4387582185C2778304055 @default.
• W4387582185 hasConceptScore W4387582185C2779829227 @default.
• W4387582185 hasConceptScore W4387582185C2780150128 @default.
• W4387582185 hasConceptScore W4387582185C3019654008 @default.
• W4387582185 hasConceptScore W4387582185C39432304 @default.
• W4387582185 hasConceptScore W4387582185C41008148 @default.
• W4387582185 hasConceptScore W4387582185C50644808 @default.
• W4387582185 hasConceptScore W4387582185C521259446 @default.
• W4387582185 hasConceptScore W4387582185C559116025 @default.
• W4387582185 hasConceptScore W4387582185C86803240 @default.
• W4387582185 hasConceptScore W4387582185C87717796 @default.
• W4387582185 hasConceptScore W4387582185C98045186 @default.
• W4387582185 hasLocation W43875821851 @default.
• W4387582185 hasOpenAccess W4387582185 @default.
• W4387582185 hasPrimaryLocation W43875821851 @default.
• W4387582185 hasRelatedWork W1975150412 @default.
• W4387582185 hasRelatedWork W2042093167 @default.
• W4387582185 hasRelatedWork W2072870413 @default.
• W4387582185 hasRelatedWork W2108274885 @default.
• W4387582185 hasRelatedWork W2388444308 @default.
• W4387582185 hasRelatedWork W2799423116 @default.

• next