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Abstract

<jats:p>This paper presents a modern approach to integrating Artificial Intelligence (AI) into Material Flow Analysis (MFA), aimed at improving the monitoring, prediction, and optimization of material flows within waste management systems. Special emphasis is placed on data preparation, the application of machine learning for trend prediction, and the potential for digital transformation of MFA through tools such as KNIME and Orange. The paper highlights key challenges, advantages, and perspectives of the integrated AI–MFA approach in the context of the circular economy and Industry 4.0.</jats:p>

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Keywords

paper approach material prediction presents

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