Titlebook: Distributed Computing for Emerging Smart Networks; Second International Imen Jemili,Mohamed Mosbah Conference proceedings 2020 Springer Nat

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https://doi.org/10.1007/978-94-007-7085-0 levels exceed the allowable limits, end-users that are truly concerned should be alerted and mitigation measures are taken. Secondly, vehicular entities are observed in the area of interest, and their gaseous emissions are thought to be the major sources of air pollution. This explains why keeping

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The Foreign Policy of the Republic of Cypruson Neural Network (CNN)-based deep learning models. The classification process is conducted under two main labels: ruminating and other, using all cow postures captured by the monitoring camera. Our proposed system is simple and easy-to-use which is able to capture long-term dynamics using a compact

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Dairy Cow Rumination Detection: A Deep Learning Approachon Neural Network (CNN)-based deep learning models. The classification process is conducted under two main labels: ruminating and other, using all cow postures captured by the monitoring camera. Our proposed system is simple and easy-to-use which is able to capture long-term dynamics using a compact

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https://doi.org/10.1007/978-3-030-65810-6artificial intelligence; bandwidth; communication channels (information theory); communication systems;

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