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Owing to concerns about safety of use and reliability, more rule and formula based methods are explored where model behavior can be explicated.
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Heuristics-based methods are explored for volume decomposition and composition, which are the intermediate steps used to generate machining features.
Among these, gradient [10, 30 32] and local binary pattern (LBP) [5, 7, 33] based methods are widely explored and proved to be successful in different applications.
In this study a computational framework based on smoothed particle hydrodynamics (SPH), a particle-based method, is explored and revamped.
Based on the data we processed, several GPU-based visualization methods are explored to interactively demonstrate marine data.
Asymptotic properties of these methods are explored.
Thus, to study uncertainty propagation in the water balance calculation, three methods were explored: Delta method, Monte Carlo simulations and a new proposal based on high-density regions.
Different schemes of the method were explored based on different designs of the connectors to achieve a strong, minimal dead-volume connection.
With the goal of obtaining rough and dense aluminum oxide (Al2O3) nanofilms, the optimal combination of process parameters for electrophoretic deposition (EPD) based on the uniform design (UD) method is explored in this paper.
Otherwise the next preferred method is explored.
The properties of the perceptual reasoning method based LDS (PR-LDS) are explored.
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