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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/dev/Kawano21>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ayako_Ogawa_Kawano>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1145%2F3460112.3472312>
foaf:homepage <https://doi.org/10.1145/3460112.3472312>
dc:identifier DBLP conf/dev/Kawano21 (xsd:string)
dc:identifier DOI doi.org%2F10.1145%2F3460112.3472312 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
rdfs:label [Poster] Association between prenatal exposure to ambient particulate matter (PM2.5) and adverse birth outcomes in Nepal and Bangladesh using the prediction model for daily PM2.5 concentrations matched with demographic and health survey data: spatio-temporal analysis: Predicting PM2.5 in Nepal and Bangladesh using XGBoost, LightGBM, and deep learning with multisource satellite data including Sentinel-5P. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ayako_Ogawa_Kawano>
swrc:pages 402-408 (xsd:string)
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rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/dev/compass2021.html#Kawano21>
rdfs:seeAlso <https://doi.org/10.1145/3460112.3472312>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/dev>
dc:title [Poster] Association between prenatal exposure to ambient particulate matter (PM2.5) and adverse birth outcomes in Nepal and Bangladesh using the prediction model for daily PM2.5 concentrations matched with demographic and health survey data: spatio-temporal analysis: Predicting PM2.5 in Nepal and Bangladesh using XGBoost, LightGBM, and deep learning with multisource satellite data including Sentinel-5P. (xsd:string)
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rdf:type swrc:InProceedings
rdf:type foaf:Document