Well-constrained LDA and SVM classification of ERT/IP data for leachate mapping in urban landfills.
- DOI
- 10.1016/j.wasman.2026.115630
- Published
- 2026 Jul 30
- Container
- Waste management (New York, N.Y.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.wasman.2026.115630,
title = {Well-constrained LDA and SVM classification of ERT/IP data for leachate mapping in urban landfills.},
author = {Donno G and Melegari D and Piegari E},
year = {2026},
journal = {Waste management (New York, N.Y.)},
doi = {10.1016/j.wasman.2026.115630},
url = {https://doi.org/10.1016/j.wasman.2026.115630}
}RIS
TY - JOUR TI - Well-constrained LDA and SVM classification of ERT/IP data for leachate mapping in urban landfills. AU - Donno G AU - Melegari D AU - Piegari E PY - 2026 JO - Waste management (New York, N.Y.) DO - 10.1016/j.wasman.2026.115630 UR - https://doi.org/10.1016/j.wasman.2026.115630 ER -
APA
G, D., D, M., & E, P. (2026). Well-constrained LDA and SVM classification of ERT/IP data for leachate mapping in urban landfills.. Waste management (New York, N.Y.). https://doi.org/10.1016/j.wasman.2026.115630
Source records
- pubmed · retrieved 2026-09-26T09:01:18.692Z