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Artificial Neural Networks (ANNs) can learn complex functions from the input data and are relatively easy to implement in any application. On the other hand, a significant disadvantage of their usage is they usually high training time-need, which scales with the structural parameters of the networks and the quantity of input data. However, this can be done offline; the training has a non-negligible...
This paper introduces a dynamic swinger based on centralized and decentralized approach for the multi-UAV resource allocation based on an effective dynamic clustering algorithm with asynchronous intermittent communications taking into account a recovery strategy between the different clusters formed in the case of breakdown communication or information loss.
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