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IEEE/ICACT20230276 Slide.11        [Big Slide]       [YouTube]	Oral Presentation
	In this part, I will introduce CENTRALIZED MODEL From the initial data of all devices will be collected centrally, then through preprocessing data and feature selection to make the data cleaner. Then divide the data into training set, validation set and testing set data. Finally, use test models of deep learning such as CNN, LSTM, GRU to evaluate the results and compare the performance of each model.

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