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Using the complex network modeling method, the knowledge collaboration network of the community is formulated, and the robustness of the network is systematically and dynamically studied.
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One such method, referred to as the Rough Set Method, incorporates the knowledge of an expert within the optimisation algorithm.
Since the proposed method requires the knowledge of source locations for beamforming, it is a semiblind method.
However, this method requires the knowledge of the error probability p e.
The method requires the knowledge of the solution of the distillation problem for the initial value of the parameter considered.
The proposed method exploits the knowledge of indoor layout to improve the RSS-based distance estimation accuracy.
This method realizes the knowledge sharing between product design enterprises and wind farms.
This method requires the knowledge of the hydrophone positions, within a cluster, synchronized data, and comparable sensor responses.
This method exploits the knowledge from unlabeled target instances to enhance a target HTL task with limited target labels.
Instead of the expert team, the method requires the knowledge of geometrical and physical parameters of the WT and aerodynamic airfoil data of the blades.
The method requires the knowledge of the initial CSD which can also be used to calculate the initial moments and initial liquid mass.
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