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- W2895904181 abstract "The combined use of graphical models and probabilistic techniques has been shown to be highly effective in applications involving the uncertain data from industrial environments. In addition, industrial data analysis has been a necessary and interesting approach for systems in industry 4.0. The present paper proposes a probabilistic graphical model to infer the probability of the path presenting a packet delivery ratio (PDR) above a threshold. The technique used was Bayesian Network, however selection and discretization techniques were applied prior to data processing. These data were collected from a real WirelessHART network. The results show the applicability of the probabilistics method to real problems of industrial network." @default.
- W2895904181 created "2018-10-26" @default.
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- W2895904181 date "2018-07-01" @default.
- W2895904181 modified "2023-09-26" @default.
- W2895904181 title "Probabilistic Inference of the Packet Delivery Ratio in Industrial Wireless Sensor Networks" @default.
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- W2895904181 doi "https://doi.org/10.1109/ijcnn.2018.8489258" @default.
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