Zambonin, Giuliano (2019) Development of Machine Learning-based technologies for major appliances: soft sensing for drying technology applications. [Ph.D. thesis]
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Abstract (italian or english)
In this thesis, Machine Learning techniques for the improvements in the performance of household major appliances are described. In particular, the focus is on drying technologies and domestic dryers are the machines of interest selected as case studies. Statistical models called Soft Sensors have been developed to provide estimates of quantities that are costly/time-consuming to measure in our applications using data that were available for other purposes.
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