Based on detrended cross-correlation analysis (DCCA), this method is improved by including partial-correlation technique, which can be applied to quantify the relations of two non-stationary signals (with influences of other signals removed) on different time scales.

A CNN-based network that uses the ANDHRA module to split the network into multiple parallel branches, leading to multiple network outputs. For a network with three ANDHRA modules with a branching factor of two, the total output heads are 2ˆ3 = 8.

Source	Detrended Partial-Cross-Correlation Analysis: A New Method for Analyzing Correlations in Complex System
Year
Data Source	Papers with Code archive (CC BY-SA)