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It allows creating custom diagrams and to customize model elements using a proprietary DSL engine.
It allows creating an evolving system that can develop on time.
In particular, in watermarking it allows creating the watermark that is shaped by using an arbitrary combination of the signal components.
A very useful feature of this submenu is the interpolation level, since it allows creating new data points by interpolation within the range of the original set of data points, thus increasing image quality.
It allows creating rich and robust datasets from the bulk of research data that is publicly available for various applications, in particular for confirmation, classification or interpretation of one's own experimental results.
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Local governments frequently restrict multi-family housing by limiting the districts where it is allowed, creating procedural barriers to development, and mandating large lot sizes.
Likely, this interpretation is overly simplistic, yet, it allows for creating hypotheses that need to be tested in future experiments.
It allows to create different temperature distributions in the ambient gas near the interface.
It allows to create very simple and inexpensive systems for non-destructive measurements.
It allows to create and initialize tracks at the first detection reducing following false data association.
It allows to create microbiological map of ICU's residual pathogens and their drug sensitivity, and as a consequents gives intensivist opportunity to implement suitable antibiotic treatment.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com