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Machine learning-based forecasting of air quality index under long-term environmental patterns: A comparative approach with XGBoost, LightGBM, and SVM — Europe PMC PMID:41060978

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41060978
DOI: 10.1371/journal.pone.0334252
License (as archived): solo-consultazione
Archived: 2026-11-09T12:27:18.353Z
SHA-256 of the archived text: 0a3a21c5b5bd0f4c9bb8222edfd3ef48894416dcfe40e03bffea0cadb744172c
Stable URL of this page: https://metraipolis.com/documento/dc_7c709ea80d55

How to cite

Machine learning-based forecasting of air quality index under long-term environmental patterns: A comparative approach with XGBoost, LightGBM, and SVM — Europe PMC PMID:41060978 — Europe PMC (en), https://europepmc.org/article/MED/41060978 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_7c709ea80d55 (Metraipolis archive dc_7c709ea80d55, sha256 0a3a21c5b5bd0f4c9bb8222edfd3ef48894416dcfe40e03bffea0cadb744172c)

BibTeX

@misc{dc7c709ea80d55,
  title = {Machine learning-based forecasting of air quality index under long-term environmental patterns: A comparative approach with XGBoost, LightGBM, and SVM — Europe PMC PMID:41060978},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41060978},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_7c709ea80d55; sha256 0a3a21c5b5bd0f4c9bb8222edfd3ef48894416dcfe40e03bffea0cadb744172c},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41060978. Agents can read the archived copy with the MCP tool read_document.