The prediction of mid-winter and spring breakups of ice cover on Canadian rivers using a hybrid ontology-based and machine learning model. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Michael_De_Coste>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Ridha_Kh%E2%88%9A%C2%A9dri>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Zhong_Li>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1016%2Fj.envsoft.2022.105577>
foaf:homepage	<https://doi.org/10.1016/j.envsoft.2022.105577>
dc:identifier	DBLP journals/envsoft/CosteLK23 (xsd:string)
dc:identifier	DOI doi.org%2F10.1016%2Fj.envsoft.2022.105577 (xsd:string)
dcterms:issued	2023 (xsd:gYear)
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swrc:month	February (xsd:string)
swrc:pages	105577 (xsd:string)
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rdfs:seeAlso	<https://doi.org/10.1016/j.envsoft.2022.105577>
dc:title	The prediction of mid-winter and spring breakups of ice cover on Canadian rivers using a hybrid ontology-based and machine learning model. (xsd:string)
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