Owing to concerns about safety of use and reliability, more rule and formula based methods are explored where model behavior can be explicated.
In this study a computational framework based on smoothed particle hydrodynamics (SPH), a particle-based method, is explored and revamped.
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.
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.
Different schemes of the method were explored based on different designs of the connectors to achieve a strong, minimal dead-volume connection.
Based on the data we processed, several GPU-based visualization methods are explored to interactively demonstrate marine data.
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.
Asymptotic properties of these methods are explored.
In this work, the possibility to exploit overlapping genes to develop a simple PCR based method of identification, was explored.
Such learning based method has also been explored extensively in figure ranking tasks including ImageCLEF, the evaluation competition of cross language image retrieval as part of the Cross Language Evaluation Forum CLEFF) [41].
