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The presented tracking scheme is first tested with synthetic signals in order to highlight its capabilities.
A new event-triggered transmission scheme is first proposed to reduce the network bandwidth utilization.
A feature matching scheme is first adopted to find a coarse initial alignment between two meshes.
The SPH scheme is first described and discussed through its formulations.
A global RPE (GRPE) learning scheme is first developed where all adjustable weights are simultaneously updated.
The formulation of the numerical scheme is first presented as a direct generalization of the three-dimensional vortex element method.
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It is shown that the bounce-back scheme is first-order accurate in space when the location of the non-slip wall is assumed to be at the boundary nodes.
This scheme is second-order accurate.
We show numerically that the scheme is second order accurate.
The implicit scheme is second order in time.
The scheme is second order accurate in time and at least third order accurate in space.
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