Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386411833> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4386411833 endingPage "260" @default.
- W4386411833 startingPage "248" @default.
- W4386411833 abstract "Monitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 $$upmu $$ m (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence of mobile low-cost PM sensors has made it possible to monitor PM levels continuously in a greater number of locations. However, the accuracy of mobile low-cost PM sensors is often questionable as it depends on geographical factors such as local atmospheric conditions. This paper presents new calibration methods for mobile low-cost PM sensors that can correct inaccurate measurements from the sensors in real-time. Our new methods leverage Neural Architecture Search (NAS) to improve the accuracy and efficiency of calibration models for mobile low-cost PM sensors. The experimental evaluation shows that the new methods reduce accuracy error by more than 26% compared with the state-of-the-art methods. Moreover, the new methods are lightweight, taking less than 2.5 ms to correct each PM measurement on Intel Neural Compute Stick 2, an AI-accelerator for edge devices deployed in air pollution monitoring platforms." @default.
- W4386411833 created "2023-09-05" @default.
- W4386411833 creator A5021504988 @default.
- W4386411833 creator A5029307415 @default.
- W4386411833 creator A5032643678 @default.
- W4386411833 creator A5070699712 @default.
- W4386411833 creator A5091352005 @default.
- W4386411833 creator A5092737893 @default.
- W4386411833 date "2023-01-01" @default.
- W4386411833 modified "2023-09-30" @default.
- W4386411833 title "Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors" @default.
- W4386411833 cites W1677182931 @default.
- W4386411833 cites W2911930990 @default.
- W4386411833 cites W3009597882 @default.
- W4386411833 cites W3043538767 @default.
- W4386411833 cites W3102083822 @default.
- W4386411833 cites W3137802598 @default.
- W4386411833 cites W3197880916 @default.
- W4386411833 cites W4285045508 @default.
- W4386411833 cites W4321108604 @default.
- W4386411833 doi "https://doi.org/10.1007/978-981-99-5834-4_20" @default.
- W4386411833 hasPublicationYear "2023" @default.
- W4386411833 type Work @default.
- W4386411833 citedByCount "0" @default.
- W4386411833 crossrefType "book-chapter" @default.
- W4386411833 hasAuthorship W4386411833A5021504988 @default.
- W4386411833 hasAuthorship W4386411833A5029307415 @default.
- W4386411833 hasAuthorship W4386411833A5032643678 @default.
- W4386411833 hasAuthorship W4386411833A5070699712 @default.
- W4386411833 hasAuthorship W4386411833A5091352005 @default.
- W4386411833 hasAuthorship W4386411833A5092737893 @default.
- W4386411833 hasConcept C105795698 @default.
- W4386411833 hasConcept C111919701 @default.
- W4386411833 hasConcept C127313418 @default.
- W4386411833 hasConcept C153083717 @default.
- W4386411833 hasConcept C154945302 @default.
- W4386411833 hasConcept C165838908 @default.
- W4386411833 hasConcept C178790620 @default.
- W4386411833 hasConcept C185592680 @default.
- W4386411833 hasConcept C186967261 @default.
- W4386411833 hasConcept C18903297 @default.
- W4386411833 hasConcept C24245907 @default.
- W4386411833 hasConcept C33923547 @default.
- W4386411833 hasConcept C39432304 @default.
- W4386411833 hasConcept C41008148 @default.
- W4386411833 hasConcept C521259446 @default.
- W4386411833 hasConcept C559116025 @default.
- W4386411833 hasConcept C62649853 @default.
- W4386411833 hasConcept C79403827 @default.
- W4386411833 hasConcept C82685317 @default.
- W4386411833 hasConcept C86803240 @default.
- W4386411833 hasConceptScore W4386411833C105795698 @default.
- W4386411833 hasConceptScore W4386411833C111919701 @default.
- W4386411833 hasConceptScore W4386411833C127313418 @default.
- W4386411833 hasConceptScore W4386411833C153083717 @default.
- W4386411833 hasConceptScore W4386411833C154945302 @default.
- W4386411833 hasConceptScore W4386411833C165838908 @default.
- W4386411833 hasConceptScore W4386411833C178790620 @default.
- W4386411833 hasConceptScore W4386411833C185592680 @default.
- W4386411833 hasConceptScore W4386411833C186967261 @default.
- W4386411833 hasConceptScore W4386411833C18903297 @default.
- W4386411833 hasConceptScore W4386411833C24245907 @default.
- W4386411833 hasConceptScore W4386411833C33923547 @default.
- W4386411833 hasConceptScore W4386411833C39432304 @default.
- W4386411833 hasConceptScore W4386411833C41008148 @default.
- W4386411833 hasConceptScore W4386411833C521259446 @default.
- W4386411833 hasConceptScore W4386411833C559116025 @default.
- W4386411833 hasConceptScore W4386411833C62649853 @default.
- W4386411833 hasConceptScore W4386411833C79403827 @default.
- W4386411833 hasConceptScore W4386411833C82685317 @default.
- W4386411833 hasConceptScore W4386411833C86803240 @default.
- W4386411833 hasLocation W43864118331 @default.
- W4386411833 hasOpenAccess W4386411833 @default.
- W4386411833 hasPrimaryLocation W43864118331 @default.
- W4386411833 hasRelatedWork W1980969051 @default.
- W4386411833 hasRelatedWork W2132012770 @default.
- W4386411833 hasRelatedWork W2180424560 @default.
- W4386411833 hasRelatedWork W2352002076 @default.
- W4386411833 hasRelatedWork W2381477504 @default.
- W4386411833 hasRelatedWork W2381763096 @default.
- W4386411833 hasRelatedWork W2565454344 @default.
- W4386411833 hasRelatedWork W2975223089 @default.
- W4386411833 hasRelatedWork W4242699901 @default.
- W4386411833 hasRelatedWork W4312594942 @default.
- W4386411833 isParatext "false" @default.
- W4386411833 isRetracted "false" @default.
- W4386411833 workType "book-chapter" @default.