http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36462047

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 101052
issn 1614-7499
issueIdentifier 45
pageRange 101035-101052
publicationName Environmental science and pollution research international
startingPage 101035
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_ce4321286039531f40f8cdd0c09b7109
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_85901b350a4c70d8eed195240edaebad
bibliographicCitation Kaur J, Singh S, Parmar KS. Forecasting of AQI (PM2.5) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model. Environ Sci Pollut Res Int. 2023 Sep;30(45):101035–52. doi: 10.1007/s11356-023-29501-w. PMID: 37644272.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0a9f90256bcec6c6f98b8717181b913a
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_459c6e7e0fd36cf0ae6304708483a810
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-7589-7364
date 2023-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1007/s11356-023-29501-w
https://pubmed.ncbi.nlm.nih.gov/37644272
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
https://portal.issn.org/resource/ISSN/1614-7499
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title Forecasting of AQI (PM2.5) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db-DWD-ARIMA) model
discusses http://id.nlm.nih.gov/mesh/M0006895
http://id.nlm.nih.gov/mesh/M0488311
http://id.nlm.nih.gov/mesh/M0000599
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D000393Q000032
http://id.nlm.nih.gov/mesh/D000086382
http://id.nlm.nih.gov/mesh/D000397Q000032
hasSubjectTerm http://id.nlm.nih.gov/mesh/D052638Q000032
http://id.nlm.nih.gov/mesh/D007194
http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D004391
http://id.nlm.nih.gov/mesh/D004784
http://id.nlm.nih.gov/mesh/D002947
http://id.nlm.nih.gov/mesh/D003140
http://id.nlm.nih.gov/mesh/D005544
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID6762
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID4235

Total number of triples: 38.