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Use of the method for interactive education is also discussed.
This paper introduces a new, model-based design method for interactive health information technology (IT) systems.
In [6], Dos Santos J.A. et al. proposed a method for interactive classification of remote sensing images considering multiscale segmentation.
This paper describes a new method for interactive segmentation that is based on cross-sectional design and 3D modelling.
To summarize, we present the first method for interactive and multiscale navigation of large, complicated biological networks that displays appropriately abstracted views at all levels of detail.
Considering the needs of working professionally in the field of HCS data analysis, 1C1V is an effective and efficient method for interactive image data exploration, detection of systematic errors, and quality control.
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The approach standardizes control structures, component abstractions, implementation of the architecture itself as well as methods for interactive optimization.
The overall aim of this research is to design and develop methods for interactive generative systems as stimulants to human creativity and it is claimed that this aim is advanced by the research reported.
Fully automatic tools are complemented with intuitive methods for interactive correction (Peng et al., 2011) and validation, greatly increasing the utility of new and existing algorithms.
The libSBGN (van Iersel et al., 2012) enables basic manipulations of SBGN-ML files, a text-based exchange format for SBGN graphics, but it does not provide methods for interactive visualizations.
Appropriate methods for interactive information extraction and terminology development like intended in this paper must not depend on large amounts of manually created annotations or a fixed conceptualization of the domain because both – terminology and annotations – may change frequently during development.
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