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Simple and facile sacrificial hard template strategy was utilized.
The low-fidelity model and the multi-infill strategy are utilized in this approach.
A computationally efficient optimization strategy is utilized allowing for multiple simulations.
Then, by considering the time as a frozen parameter, the parametric satisficing control strategy is utilized.
Moreover, error correcting output coding (ECOC) strategy is utilized to transform the recognizing problem into a series of binary classifications.
However, it is unknown how much, which type(s), and what foraging strategy was utilized to obtain invertebrate prey.
A qualitative research strategy was utilized to elicit descriptive qualitative responses from which research goals were addressed.
Meanwhile, a multi-task strategy is utilized to simultaneously estimate the density map, crowd density level, and background/foreground mask.
A simplified version of an evolution strategy is utilized to optimize wavelet filters of a Discrete Wavelet Transform algorithm.
A position-force switching control strategy is utilized to regulate the position and grasping force of movable jaw.
Then a spiral search strategy is utilized to select the region of interest (ROI) that contains enough feature corners.
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