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For example, as certain chemicals are added to or are left from a product, the composition of its external surface is altered. Test the material by pressing the button and observing how it conducts electricity.
Self-adaptation is a key aspect of the Internet of Things (IoT) as it makes devices able to react, learn, recognize patterns, and make decisions to optimize a network in the most efficient way possible.
To avoid duplicating the same operations over and over again, an IoT service should be able to learn how previous operations for a given entity have been performed. A machine learning approach, called activity analysis, has been used in this work to set up a generic rule-based approach for activity analysis and automatic resource allocation in IoT-based smart services.