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Hardware Failure Prediction on Imbalanced Times Series Data: Generation of Artificial Data Using Gaussian Process and Applying LSTMFCN to Predict Broken Hardware

Magnetic resonance imaging (MRI) systems and their continuous, failure-free operation is crucial for high-quality diagnostics and seamless workflows. One important hardware component is coils as they detect the magnetic signal. Before every MRI scan, several image features are captured which represe...

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Bibliografski detalji
Izdano u:J Digit Imaging
Glavni autori: Rücker, Nadine, Pflüger, Lea, Maier, Andreas
Format: Artigo
Jezik:Inglês
Izdano: Springer International Publishing 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7887121/
https://ncbi.nlm.nih.gov/pubmed/33409816
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-020-00411-4
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