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A Bayesian Framework for the Automated Online Assessment of Sensor Data Quality

Online automated quality assessment is critical to determine a sensor's fitness for purpose in real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to produce probabilistic quality assessments and represent the uncertainty of sequentially correlated sensor readings. Th...

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Bibliografiska uppgifter
Huvudupphovsmän: Smith, Daniel, Timms, Greg, De Souza, Paulo, D'Este, Claire
Materialtyp: Artigo
Språk:Inglês
Publicerad: Molecular Diversity Preservation International (MDPI) 2012
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3444112/
https://ncbi.nlm.nih.gov/pubmed/23012554
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s120709476
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