A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. | 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/Danilo_Medeiros_Eler>
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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Maur%E2%88%9A%E2%89%A0cio_Ara%E2%88%9A%C4%BCjo_Dias>
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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Wallace_Casaca>
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dc:identifier	DBLP journals/remotesensing/DiasMNCME22 (xsd:string)
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rdfs:label	A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Danilo_Medeiros_Eler>
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Maur%E2%88%9A%E2%89%A0cio_Ara%E2%88%9A%C4%BCjo_Dias>
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dc:title	A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments. (xsd:string)
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