Оптимизација анализе токова материјала применом AI алата
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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.
Fields of Study & Subjects
Impact of AI and Big Data on Business and Society
Sustainable Industrial Ecology
Machine Learning in Materials Science
Publication details
- Journal / source
- Zbornik radova Fakulteta tehničkih nauka u Novom Sadu
- Volume
- 41
- Issue
- 03
- Pages
- 468–470
- Publication date
- 16 March 2026
- Language
- SR