| Predicate |
Object |
| contentType |
Journal Article |
| endingPage |
125294 |
| issn |
1614-7499 |
| issueIdentifier |
60 |
| pageRange |
125275-125294 |
| publicationName |
Environmental science and pollution research international |
| startingPage |
125275 |
| bibliographicCitation |
Arepalli PG, Khetavath JN. An IoT framework for quality analysis of aquatic water data using time-series convolutional neural network. Environ Sci Pollut Res Int. 2023 Dec;30(60):125275–94. doi: 10.1007/s11356-023-27922-1. PMID: 37284950. |
| creator |
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0a8860cb98039d10f0fd2dac73f31c19
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_adf33f99d5b6b7bf06a4d6a6b7af056c |
| date |
2023-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/37284950
https://doi.org/10.1007/s11356-023-27922-1 |
| isPartOf |
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
https://portal.issn.org/resource/ISSN/1614-7499 |
| language |
English |
| source |
https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/ |
| title |
An IoT framework for quality analysis of aquatic water data using time-series convolutional neural network |
| discussesAsDerivedByTextMining |
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5354004
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |