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IEEE/ICACT20210173 Slide.15        [Big Slide]	Oral Presentation
	Finally, regression analysis. The position is predicted using the regression that indicates the real value from the given input, typical in supervised learning. The received RSSI from APs are input, and the coordinates are output. Using the regression model, the output is not specified, and the coordinates matched to each data can be output. Therefore, it is considered that highly accurate positioning can be achieved. The existing Fingerprint method has a problem that fine positioning is difficult, but by using the regression analysis model, highly accurate positioning can be expected regardless.

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