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IEEE/ICACT20210173 Slide.13        [Big Slide]	Oral Presentation
	Let's talk about the learning model. First, the classification model. Labels are assigned to the previously measured data. The label shows the probability of existence in each square, and one is given only to the court in which the terminal exists among the M squares. As shown in this figure, the model extracts features from the input data and outputs the probabilities of being in each square.

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