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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Machine learning assessment of industrial corrosion and public health risks in data limited aquifers of Northeastern Algeria

  • Mohamed Hamdy Eid
  • Omar Saeed
  • Péter Szűcs
  • Viktoria Mikita
  • Ahmed A. Tamma
  • Salah Elsayed
  • Mohamed S. Abd El-baki
  • Mostafa R. Abukhadra
  • May Bin-Jumah
  • Ahmed A. Allam
  • Mohamed Sayed Kamel
  • Dominika Dąbrowska
1 more authors
  • Mohamed Gad
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{eid2026machine,
  title = {{Machine learning assessment of industrial corrosion and public health risks in data limited aquifers of Northeastern Algeria}},
  author = {Mohamed Hamdy Eid and Omar Saeed and Péter Szűcs and Viktoria Mikita and Ahmed A. Tamma and Salah Elsayed and Mohamed S. Abd El-baki and Mostafa R. Abukhadra and May Bin-Jumah and Ahmed A. Allam and Mohamed Sayed Kamel and Dominika Dąbrowska and Mohamed Gad},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-70426-4},
  url = {https://www.nature.com/articles/s41598-026-70426-4},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Machine learning assessment of industrial corrosion and public health risks in data limited aquifers of Northeastern Algeria
AU  - Mohamed Hamdy Eid
AU  - Omar Saeed
AU  - Péter Szűcs
AU  - Viktoria Mikita
AU  - Ahmed A. Tamma
AU  - Salah Elsayed
AU  - Mohamed S. Abd El-baki
AU  - Mostafa R. Abukhadra
AU  - May Bin-Jumah
AU  - Ahmed A. Allam
AU  - Mohamed Sayed Kamel
AU  - Dominika Dąbrowska
AU  - Mohamed Gad
PY  - 2026
DA  - 2026/10/10
JO  - Scientific Reports
DO  - 10.1038/s41598-026-70426-4
UR  - https://www.nature.com/articles/s41598-026-70426-4
SN  - 2045-2322
ER  -