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We have demonstrated that video analysis techniques used for shot boundary detection can be used to identify changes in the movies showing Li deposition/dissolution process in the in situ ec-STEM cell.
Its boundary detection can be optimized per landmark during model training.
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By modeling the objects using outer boundaries, the computational cost for collision detection can be significantly reduced.
Increasing the availability of testing can be vital in the early detection of H.I.V., and early detection can be the crucial factor in fighting this devastating illness.
The power of QTL detection can be increased by increasing marker densities and the BVS model outperforms the LM model in refining QTL locations with clear boundaries between linked QTL.
Also, the boundary energy can be defined through other edge detection algorithms, for instance, algorithms based on ratio operator, ROEWA operator, and so on.
This non-monotone behavior accentuates the transition boundary and can be exploited to aid its detection.
No grain boundary energy can be saved if an almost planar boundary is moving.
Boundary conditions can be either periodic, no-flux, or no-boundary.
Among these factors, the boundary conditions can be modified interactively.
In short, the ILM and IS/OS boundaries are detected first so that the detection of the remaining boundaries can be restricted to successively smaller search areas, thereby considerably shortening the computation time.
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