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A Hybrid Soft Sensor Approach Combining Partial Least-Squares Regression and an Unscented Kalman Filter for State Estimation in Bioprocesses.

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Title: A Hybrid Soft Sensor Approach Combining Partial Least-Squares Regression and an Unscented Kalman Filter for State Estimation in Bioprocesses.
Authors: Hermann, Lucas1 (AUTHOR), Kremling, Andreas1 (AUTHOR) a.kremling@tum.de
Source: Bioengineering (Basel). Jun2025, Vol. 12 Issue 6, p654. 21p.
Database: Academic Search Ultimate
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  Data: A Hybrid Soft Sensor Approach Combining Partial Least-Squares Regression and an Unscented Kalman Filter for State Estimation in Bioprocesses.
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  Data: <searchLink fieldCode="JN" term="%22Bioengineering+%28Basel%29%22">Bioengineering (Basel)</searchLink>. Jun2025, Vol. 12 Issue 6, p654. 21p.
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        Value: 10.3390/bioengineering12060654
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        Text: English
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        PageCount: 21
        StartPage: 654
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      – TitleFull: A Hybrid Soft Sensor Approach Combining Partial Least-Squares Regression and an Unscented Kalman Filter for State Estimation in Bioprocesses.
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              Text: Jun2025
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              Y: 2025
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