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A correction method based on Generalized Regression Neural Network (GRNN) was proposed to get time-synchronized data of the whole building.
Particularly, in this paper, a geostatistical approach was proposed to get the best image of a ground thermal conductivity for shallow geothermal applications.
By using the Dynamic Source Routing (DSR) [23], the Flow-Oriented Routing Protocol (FORP) [24] was proposed to get stable routes that have even twice the lifetime of the minimum-hop routes [25, 26], but it makes too much hops.
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A simple system architecture called JOMS (JOystick Modified System) is proposed to get those data.
An efficient algorithm is proposed to get the actual solution to them.
Therefore, a combined ORC system is proposed to get higher efficiencies at different thermal loads.
In this paper, a greedy method is proposed to get the optimized test set.
Different methods have been proposed to get rid of them instead of estimating them.
3) Both analytical and numerical methods are proposed to get stationary solutions of CFPEs.
In this article, the CED is proposed to get rid of the issues mentioned above.
Then, a joint algorithm is proposed to get the optimal precoding and transmission power vectors.
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