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IEEE/ICACT20220021 Slide.15        [Big Slide]	Oral Presentation
	Finally, I show conclusion. Our paper is to analyze recent transform-based lossy compression techniques concerning IoT datasets. We predict the compression ratio of transformation-based lossy compressors, DCT-K, using characterization data to predict as statistically and use Machine learning such as RF, ANN, and so on. We learned from Experiments show the higher the data variance, the lower the compression ratio.

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