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Input quality aware convolutional LSTM networks for virtual marine sensors
Stefan Oehmcke
*
, Oliver Zielinski, Oliver Kramer
*
Corresponding author for this work
23
Citations (Scopus)
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Dive into the research topics of 'Input quality aware convolutional LSTM networks for virtual marine sensors'. Together they form a unique fingerprint.
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Keyphrases
Quality-aware
100%
Marine Sensors
100%
Convolutional LSTM Network
100%
Hardware Sensors
25%
Faulty Hardware
25%
Storage Layer
25%
Sensor Model
25%
Chemical Engineering
Deep Learning Method
100%
Long Short-Term Memory
100%
Neural Network
100%
Computer Science
Convolutional LSTM
100%
Hardware Sensor
50%
Convolutional Layer
50%
Engineering
Fine Detail
25%
Quality Information
25%
Long Short-Term Memory
25%
Application of Sensors
25%
Sensor Model
25%
Convolutional Layer
25%