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Caplan et al. ([2011]) reported minimal deviations and concluded that the Google Maps method is equally robust, less time-consuming and more easily accessible for researchers.
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In addition to the supervised classification problem, an automatic class discovery method, self organizing maps method, was also explored in the study.
The linear mapping method is a straightforward mapping offering simple schedule and control signals.
A concept of feature parameter map that leads to a constraint mapping method is proposed.
Force state mapping method is employed to identify the contact restoring forces.
Instead, the parametric mapping method is based on the explicit boundary representation.
The space mapping method is adopted to design a gravity compensator for the associated linkage.
The beat map method is introduced to visualize the beat distribution properties.
The three-dimensional grid map method is utilized to plot the environment map based on the operation environment model.
The design method based on the space mapping method is extended to a multi-dof gravity compensator space.
The hybrid of particle swarm optimization and cell mapping method is used to search for the Pareto optimal solutions.
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