Scientific paper - Conference Proceedings Article (invited lecture)
Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants
In: XV International Conference on Durability of Building Materials and Components. eBook of Proceedings. Barcelona: CIMNE, 2020. https://doi.org/10.23967/dbmc.2020.144


Cite this document

Volf, G. (2020). Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants. XV International Conference on Durability of Building Materials and Components. eBook of Proceedings. Barcelona: CIMNE. doi: 10.23967/dbmc.2020.144

Volf, G.. "Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants." XV International Conference on Durability of Building Materials and Components. eBook of Proceedings, CIMNE, 2020. https://urn.nsk.hr/urn:nbn:hr:157:306252

Volf, G.. "Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants." In XV International Conference on Durability of Building Materials and Components. eBook of Proceedings. Barcelona: CIMNE, 2020. Accessed 2025 April 06. https://urn.nsk.hr/urn:nbn:hr:157:306252

Volf, G. (2020) 'Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants', XV International Conference on Durability of Building Materials and Components. eBook of Proceedings, CIMNE, Barcelona. Available at: https://urn.nsk.hr/urn:nbn:hr:157:306252 (Accessed 06 April 2025)

Volf G. Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants. XV International Conference on Durability of Building Materials and Components. eBook of Proceedings. Barcelona: CIMNE; 2020. [cited 2025 April 06] Available at: https://urn.nsk.hr/urn:nbn:hr:157:306252

G. Volf, "Use of Machine Learning in the Function of Sustainability of Wastewater Treatment Plants", XV International Conference on Durability of Building Materials and Components. eBook of Proceedings Barcelona: CIMNE, 2020. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:157:306252 [Accessed: 06 April 2025]

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