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What is A Survey On Deep Learning Based Time Series Analysis With Frequency Transformation about?

This document presents a comprehensive survey on deep learning-based time series analysis incorporating frequency transformation (FT), highlighting its advantages and limitations. The authors categorize existing methods, explore various neural network designs, and identify application domains such as forecasting, anomaly detection, and classification. The paper aims to fill gaps in the literature by providing a structured overview and proposing a novel taxonomy for this emerging area of research.

Author

xijinping.chn

Language

EN