Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
https://orcid.org/0000-0002-2290-6749
https://orcid.org/0000-0002-4009-6399
https://orcid.org/0000-0002-7941-3902
https://orcid.org/0000-0002-3406-1106
https://orcid.org/0000-0002-5721-1242
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
https://orcid.org/0000-0002-2290-6749
https://orcid.org/0000-0002-4009-6399
https://orcid.org/0000-0002-7941-3902
https://orcid.org/0000-0002-3406-1106
https://orcid.org/0000-0002-5721-1242
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
https://orcid.org/0000-0002-2290-6749
https://orcid.org/0000-0002-4009-6399
https://orcid.org/0000-0002-7941-3902
https://orcid.org/0000-0002-3406-1106
https://orcid.org/0000-0002-5721-1242
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Atmospheric Environment
Ghimire, Sujan (Autor:in) / Deo, Ravinesh C. (Autor:in) / Jiang, Ningbo (Autor:in) / Ahmed, A.A. Masrur (Autor:in) / Prasad, Salvin S. (Autor:in) / Casillas-Pérez, David (Autor:in) / Salcedo-Sanz, Sancho (Autor:in) / Yaseen, Zaher Mundher (Autor:in)
Atmospheric Environment ; 347 ; 121079
01.04.2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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