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- W2399415394 abstract "This paper introduces an original clusterized framework for the detection and estimation of the parameters of multiple gas sources in wireless sensor networks. The proposed method consists of defining a kernel-based detector that can detect gas releases within the network's clusters using concentration measures collected regularly from the network. Then, we define two kernel-based models that accurately estimate the gas release parameters, such as the sources locations and their release rates, using the collected concentrations." @default.
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- W2399415394 date "2016-07-01" @default.
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- W2399415394 title "Gas Source Parameter Estimation Using Machine Learning in WSNs" @default.
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- W2399415394 doi "https://doi.org/10.1109/jsen.2016.2569559" @default.
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