Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/sensors/HembertGCC24
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Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/sensors/HembertGCC24
>
dc:
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https://dblp.l3s.de/d2r/resource/authors/Francisco_Chinesta
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https://dblp.l3s.de/d2r/resource/authors/Julien_Cotton
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dc:
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DBLP journals/sensors/HembertGCC24
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dc:
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dcterms:
issued
2024
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swrc:
journal
<
https://dblp.l3s.de/d2r/resource/journals/sensors
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rdfs:
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Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks.
(xsd:string)
foaf:
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https://dblp.l3s.de/d2r/resource/authors/Chady_Ghnatios
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foaf:
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<
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swrc:
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March
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swrc:
number
5
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swrc:
pages
1580
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<
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dc:
title
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks.
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24
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