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cs.SE2022
A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes
Firas Bayram, Bestoun S. Ahmed, Erik Hallin +1
Most industrial processes in real-world manufacturing applications are characterized by the scalability property, which requires an automated strategy to self-adapt machine learnin…
cs.SE2022
Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application
Ayan Chatterjee, Bestoun S. Ahmed, Erik Hallin +1
There is often a scarcity of training data for machine learning (ML) classification and regression models in industrial production, especially for time-consuming or sparsely run ma…