Titlebook: Improved Crop Quality by Nutrient Management; D. Anac,P. Martin-PrÉvel Book 1999 Springer Science+Business Media Dordrecht 1999 environmen

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omputation-intensive and delay-sensitive tasks to nearby edge nodes. However, pure edge resources can be limited and insufficient for computational-intensive applications raised by multiple users, which calls for a hybrid architecture with a centralized cloud server and multiple edge nodes and smart

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atency, consuming energy and improving privacy. As the most important technique of AI, Deep Neural Networks (DNN) has been widely used in various fields. And for those DNN based tasks, a new computing scheme named DNN model partition can further reduce the execution time. This computing scheme parti

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O. Achileaing, the call traffic should be predicted in a long-term way where the forecasting results for different periods are required. However, it is very challenging to solve this problem due to the randomness nature of the call traffic and the multiple forecasting in long term. Current methods cannot solv