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We developed and carried out a artificial-data-technology course of action to even further Appraise the efficiency in the proposed model during the presence of different seasonal parts.

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, is definitely an extension of your here Gaussian random walk system, through which, at every time, we could have a Gaussian stage which has a probability of p or stay in the same condition which has a probability of 1 ??p

We assessed the product?�s efficiency with real-environment time sequence datasets from different fields, demonstrating the improved effectiveness on the proposed approach. We further clearly show that the development over the condition-of-the-artwork was statistically important.