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In our model, the targets form part of the 3D environment.
Traditional statistical methodology is used for feature extraction, and GMM modelling is used to model the targets under different weather backgrounds.
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With the improved visual attention model, the target detection module is suitable for the SAR image target detection.
The 2D scattering center model [18, 19] in the ISAR imaging and automatic target recognition (ATR) can model the target returns well.
Given that ligand and target descriptors jointly form a PCM model, the target description is as important as the ligand description.
In this model, the target factor loadings for all items were significant and ranged from.59 to.87, providing evidence for the construct validity of the SWBQb.
In the optimization step, we model the target area based on the pre-measured location and allocate multiple particles into the area to mine confident candidates.
For a moderately long coherent processing interval (CPI), it suffices to model the target motion by a second-order polynomial or a linear frequency-modulated signal.
In our oculomotor model, the target word for each saccade was randomly selected according to the probabilities for word skipping and refixation as a function of word length.
The method presented in this paper makes use of structural information to refine misaligned regions between a sequence to model (the target) and its template.
In our model the target DNA consists of one or more DNA "segments" which have unknown concentrations.
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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