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AI-Based Expert System Design for Optimisation of Heavy Metal Adsorption on Waste-Derived Adsorbents Cover

AI-Based Expert System Design for Optimisation of Heavy Metal Adsorption on Waste-Derived Adsorbents

Chemistry-Didactics-Ecology-Metrology
Volume 30 (2025): Issue 1-2 (December 2025)
By: Mohammad Gheibi,  Zahra Hajiahmadi,  Katarzyna Jaromin-Gleń,  Mohammad Eftekhari,  Kourosh Behzadian,  Miroslav Černík and  Stanisław Wacławek  
Open Access
|Dec 2025
Authors

Authors

Mohammad Gheibi

mohammad.gheibi@tul.cz

Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Liberec, Czech Republic
Faculty of Mechatronics, Informatics, and Interdisciplinary Studies, Technical University of Liberec, Liberec-Staré Město, Czech Republic

Zahra Hajiahmadi

Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Liberec, Czech Republic

Katarzyna Jaromin-Gleń

Institute of Agrophysics, Polish Academy of Sciences, Lublin, Poland

Mohammad Eftekhari

Department of Chemistry, Faculty of Sciences, University of Neyshabur, Iran

Kourosh Behzadian

Centre for Urban Sustainability and Resilience, Department of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom
School of Computing and Engineering, University of West London, London, United Kingdom

Miroslav Černík

Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Liberec, Czech Republic

Stanisław Wacławek

Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Liberec, Czech Republic
DOI: https://doi.org/10.2478/cdem-2025-0006 | Journal eISSN: 2084-4506 | Journal ISSN: 1640-9019
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Language: English
Page range: 47 - 65
Published on: Dec 31, 2025
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
expert system,
heavy metal adsorption,
machine learning,
construction and demolition waste,
water treatment plant,
process automation,
Industry 4.0
Related subjects:
Chemistry,
Chemistry, other

© 2025 Mohammad Gheibi, Zahra Hajiahmadi, Katarzyna Jaromin-Gleń, Mohammad Eftekhari, Kourosh Behzadian, Miroslav Černík, Stanisław Wacławek, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 30 (2025): Issue 1-2 (December 2025)
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