Computational architecture of IoT data analytics for connected home based on deep learning

EATIS(2021)

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摘要
The internet of things (IoT) is a computing paradigm that expands every day along with the number of devices connected to the network, that's why transmit information safely and be able to use all the computational capacity of the devices that compose it to analyze the generated data is one of the great challenges that it is tried to solve under the computational architecture proposed in the present article.
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关键词
Internet of Things (IoT), Deep learning, Fog computing, IoT architecture, Machine learning, TensorFlow, MQTT
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