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Our SDA method solves the problem of parameter independence completely.
This method solves the 3D location problem using a single colour camera on board the robot.
In addition, this method solves the resource allocation problem by only one allocating process.
The method solves the multiple functions problem in cognitive radar spectrum allocation.
The BoW method solves the visual burstiness by square-rooting and renormalizing the BoW vectors [25].
This method solves the more realistic problem of estimating the process and the weights.
To a certain extent, the weighted search method solves the local optimization problem.
In this paper, the potential effective method solves the problem well.
The method solves the Euler equations linearized about a mean flow in the frequency domain.
The method solves the same system at each mesh point with the same algorithm.
This method solves the time-dependent incompressible Navier-Stokes equations in the presence of immersed boundaries.
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