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The increasing adoption of automation and digitalization in biomanufacturing has led to the proliferation of high-frequency, multi-source sensor data from bioreactors and associated analytical devices. However, raw data generated by different equipment vendors are typically heterogeneous in format, structure, sampling frequency, and naming conventions, which poses a substantial barrier to automated data processing and meaningful cross-instrument integration. Without harmonization, sensor time ...
Programme: Bioindustry 4.0
Public web page: https://gitlab.com/arc3972240/bioindustry/raw2ready