Predictive Modeling of Mining Laboratory Effluent Contamination Using LSTM-Attention Networks: A Case Study from the Haut-Katanga Copperbelt.
- DOI
- 10.1007/s10653-026-03262-0
- Published
- 2026 Jun 3
- Container
- Environmental geochemistry and health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s10653-026-03262-0,
title = {Predictive Modeling of Mining Laboratory Effluent Contamination Using LSTM-Attention Networks: A Case Study from the Haut-Katanga Copperbelt.},
author = {Musala MK and Matthieu MT and Mugaruka MA and Mwambila FK and Ilunga HN and Kyongo JM and Adesola GO and Tshamala AK},
year = {2026},
journal = {Environmental geochemistry and health},
doi = {10.1007/s10653-026-03262-0},
url = {https://doi.org/10.1007/s10653-026-03262-0}
}RIS
TY - JOUR TI - Predictive Modeling of Mining Laboratory Effluent Contamination Using LSTM-Attention Networks: A Case Study from the Haut-Katanga Copperbelt. AU - Musala MK AU - Matthieu MT AU - Mugaruka MA AU - Mwambila FK AU - Ilunga HN AU - Kyongo JM AU - Adesola GO AU - Tshamala AK PY - 2026 JO - Environmental geochemistry and health DO - 10.1007/s10653-026-03262-0 UR - https://doi.org/10.1007/s10653-026-03262-0 ER -
APA
MK, M., MT, M., MA, M., FK, M., HN, I., JM, K., GO, A., & AK, T. (2026). Predictive Modeling of Mining Laboratory Effluent Contamination Using LSTM-Attention Networks: A Case Study from the Haut-Katanga Copperbelt.. Environmental geochemistry and health. https://doi.org/10.1007/s10653-026-03262-0
Source records
- pubmed · retrieved 2026-09-25T14:38:04.794Z
- europe-pmc · retrieved 2026-09-25T14:38:04.808Z