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Manually generating these sets for large workflow schemas can be an error-prone and tedious process.
In addition to being a tedious procedure, the complexity of structural construction makes the task of manually generating simulation models quite complicated.
Users don't need to trouble themselves with manually generating and exchanging encryption keys.
In contrast, by applying particle filter, it can avoid the cumbersome process of manually generating a lot of templates.
Manually generating and labeling the training data is naturally an expensive solution in terms of time and effort.
Although Metamorph is a powerful tool for image acquisition, process, and analysis, manually generating segmentation results with it is still a very tedious and time-consuming process since it takes lots of human efforts to estimate parameter values.
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Quality assessment requires one manually generated segmentation (for reference) plus computer-generated segmentations corresponding to different image segmentation algorithms or algorithm parameter settings.
The experiment shows that the proposed approach is general enough to recover the linear order of various manually generated two-dimensional scripts without needing to know in advance what language they represent and how the two-dimensional scripts were generated.
These test cases can be either automatically generated, manually generated, or both.
Simulation results support this idea over randomly and manually generated parameters.
These structural motifs perform comparably well with manually generated structural motifs and perform better than sequence motifs.
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