Szczegóły publikacji
Opis bibliograficzny
Application of data exploration methods for evaluating relationships between elements in incineration bottom ash / Monika CHUCHRO, Barbara BIELOWICZ // W: International conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) [Dokument elektroniczny] : 7–9 August 2025, Antalya, Turkiye. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2025. — Print on Demand (PoD) ISBN: 979-8-3315-3563-6. — e-ISBN: 979-8-3315-3562-9. — S. [1–6]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [6], Abstr. — Publikacja dostępna online od: 2025-09-24
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 163003 |
|---|---|
| Data dodania do BaDAP | 2025-09-29 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ACDSA65407.2025.11165815 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
The study presents a comprehensive statistical analysis of incineration bottom ash (IBA) to uncover relationships between elemental components using multiple regression, spline models, and hierarchical clustering. Results revealed strong correlations between specific elements, notably Cu-Zn, Co-Ni, and HREE-LREE, indicating common sources and geochemical affinities. Spline regression models outperformed linear models for elements with complex, non-linear relationships such as Cr, Co, Ni, and rare earth elements. Cluster analysis consistently identified three major groups of elements, supporting their joint behavior in the ash matrix. The high variability of element concentrations across samples underscores the need for long-term monitoring and highlights the potential for targeted recovery of valuable elements.
