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These algorithms can be roughly classed into two categories.
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These methods can be roughly divided into two classes.
Traditional doping methods can be roughly divided into three classes: doping during growth, doping by diffusion, and ion implantation.
According to the number of transceivers installed at each node, the schemes can be roughly divided into two classes: single-transceiver schemes and multi-transceivers schemes.
Various robustness techniques have been proposed to reduce this mismatch, which can be roughly divided into two classes: model-based and feature-based approaches.
The OBP directly related to communications can be roughly divided into two classes: intermediate/radio frequency (IF/RF) processing and switching and baseband OBP [2, 3].
The existing active contour models can be roughly categorized into two classes: region-based models [1 9] and edges-based models [10 14].
According to the ways of forming the base classifiers, it can be roughly divided into two classes: horizontal ensemble framework and vertical ensemble framework.
They can be roughly divided into three classes: Docking-based scoring functions, scores depending on similarity to known active compounds and machine learning-based score predictions.
Coded cooperation can be roughly divided into two classes [8, 9]: repetition coding (RC), which uses the same encoder for source and relay, and parallel coding (PC), in which source and relay encoders are built to send different parities.
These methods can be roughly categorized into three classes: exhaustive search, regression-based approach, and data-mining approach.
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