Architecture and pervasive platform for machine learning services in Industry 4.0

Pervasive computing promotes the integration of smart electronic devices in our living and working spaces in order to provide new, advanced services. Recently many prototype services based on machine learning techniques have been proposed in a number of domains like smart homes, smart buildings or smart plants. However, the number of applications effectively deployed in the real world is still limited. We believe that architectural principles and integrated frameworks are still missing today to successfully and repetitively support application developers and operators. In this paper, we present a novel architecture and a pervasive platform allowing the development of machine learning based applications in smart buildings.

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