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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/applepies/HattoutiRNVBRS23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Alessandro_Verani>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Federico_Baronti>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Luca_Amyn_Hattouti>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Niccol%E2%88%9A%E2%89%A4_Nicodemo>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Roberto_Di_Rienzo>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Roberto_Roncella>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Roberto_Saletti>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-031-48121-5%5F58>
foaf:homepage <https://doi.org/10.1007/978-3-031-48121-5_58>
dc:identifier DBLP conf/applepies/HattoutiRNVBRS23 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-031-48121-5%5F58 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
rdfs:label Comparison of Lithium-Ion Battery SoC Estimation Accuracy of LSTM Neural Network Trained with Experimental and Synthetic Datasets. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Alessandro_Verani>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Federico_Baronti>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Luca_Amyn_Hattouti>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Niccol%E2%88%9A%E2%89%A4_Nicodemo>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Roberto_Di_Rienzo>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Roberto_Roncella>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Roberto_Saletti>
swrc:pages 405-410 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/applepies/2023>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/applepies/HattoutiRNVBRS23/dblp>
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rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/applepies/applepies2023.html#HattoutiRNVBRS23>
rdfs:seeAlso <https://doi.org/10.1007/978-3-031-48121-5_58>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/applepies>
dc:title Comparison of Lithium-Ion Battery SoC Estimation Accuracy of LSTM Neural Network Trained with Experimental and Synthetic Datasets. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document