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Stuttgart Open Relay Degradation Dataset (SOReDD)
Stuttgart Open Relay Degradation Dataset (SOReDD)
Apr 1, 2022
Maschler, Benjamin; Iliev, Angel; Pham, Thi Thu Huong; Weyrich, Michael, 2022, "Stuttgart Open Relay Degradation Dataset (SOReDD)", https://doi.org/10.18419/darus-2785, DaRUS, V1
Real-life industrial use cases for machine learning oftentimes involve heterogeneous and dynamic assets, processes and data, resulting in a need to continuously adapt the learning algorithm accordingly. Industrial transfer learning offers to lower the effort of such adaptation by...
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