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Paper IEEE ICPS 2025 - Arend/Schwung - "Online-adaptive data stream processing via cascaded and reverse adaptation"

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Paper IEEE ICPS 2025 - Arend/Schwung - "Online-adaptive data stream processing via cascaded and reverse adaptation"

This repository provides the sample program described in Section IV. SAMPLE: AUTO-RENORMALIZATION OF DRIFTING STREAM DATA of the above conference paper.

How to execute

Step 1: Install these Python packages

Step 2: Execute the sample program and follow the hints on the screen

Step 3: Manually arrange the plot windows and press enter

Sample with 2 features (refers to the result plots in Fig. 3)

video2d

Sample with 3 features

video3d

Sample with 1 feature

video1d

Sample with 7 features

video7d

See also

8th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)

MLPro - the integrative middleware framework for standardized machine learning in Python

South Westphalia University of Applied Sciences, Dept. of Automation Technology and Learning Systems

Contact us

Detlef Arend: email | orcid | researchgate | linkedin

Andreas Schwung: email | orcid | researchgate