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Wireless sensor networks have increasingly become contributors of very large amounts of data. The recent deployment of wireless sensor networks in Smart City infrastructures have led to very large amounts of data being generated each day across a variety of domains, with applications including environmental monitoring, healthcare monitoring and transport(More)
Wireless sensor nodes are a major source of heterogeneous information in a smart city environment. In order to infer knowledge from data collected, we may use existing semantic technologies and probabilistic data fusion approaches such as Dempster-Shafer theory, Bayes theory, or Fuzzy sets. This intelligent inference can be termed activity recognition.(More)
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