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Adaptive soft sensor for product quality estimation in clinker production

Year: 2026

Type: article

Abstract: Presentation on adaptive soft-sensing for the quality indices of clinker production. Development of an adaptive soft-sensing framwork based on PLS which is integrated into two different hyperparameter selection paradigms: ensemble learning and optimisation, namely Bayesian Optimisation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24088337

Authors: FACCO, Pierantonio, Bezzo, Fabrizio, Leal da Silva, Wilson Ricardo, Stefan, Mihnea

Institution: University of Padua

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225634699

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