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The method belongs to FD method, and can be viewed as the generalized SLLOD algorithm [9].
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A greater part of the methods belonging to pre-encoder embedding class does not guarantee the integrity of the hidden data over the network.
Although both the communities have a huge number of journal and proceedings papers, a few of them are really dedicated to a systematic comparison of the methods belonging to these two classes.
The methods belonging to the first group provide only an estimation of the collapse load for the slope, while those of the second group are able to evaluate the progressive deformation of the soil/rock mass, and the variation of effective and neutral stresses, up to failure.
The proposed method belongs to the second type.
The segmentation method belongs to the split and merge category.
The proposed method belongs to the category of component-based methods, and does not rely on any electrooculography (EOG) signals.
The resulting method belongs to the category of well-balanced Roe schemes and is able to handle steady cases with flow in motion.
The proposed method belongs to the class of surrogate/approximate boundary algorithms and is based on the idea of shifting the location where boundary conditions are applied from the true to a surrogate boundary.
Meanwhile, due to that the proposed method belongs to meshfree methods, thus it is suitable for the highly deformed free surface flow problems.
The new parameter tuning law can calculate PID gains directly from closed-loop data, so the proposed method belongs to implicit schemes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com