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Machine Learning-Enhanced MEC Sensors with Feature Engineering for Quantitative Analysis of Multi-Component Toxicants — Europe PMC PMID:41892036

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41892036
DOI: 10.3390/bios16030144
License (as archived): solo-consultazione
Archived: 2026-11-05T09:44:12.661Z
SHA-256 of the archived text: 50cb7f754d216421f42a58f54e325ba23a599cd2844f964cae98760d112965c6
Stable URL of this page: https://metraipolis.com/documento/dc_d596d807fafa

How to cite

Machine Learning-Enhanced MEC Sensors with Feature Engineering for Quantitative Analysis of Multi-Component Toxicants — Europe PMC PMID:41892036 — Europe PMC (en), https://europepmc.org/article/MED/41892036 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_d596d807fafa (Metraipolis archive dc_d596d807fafa, sha256 50cb7f754d216421f42a58f54e325ba23a599cd2844f964cae98760d112965c6)

BibTeX

@misc{dcd596d807fafa,
  title = {Machine Learning-Enhanced MEC Sensors with Feature Engineering for Quantitative Analysis of Multi-Component Toxicants — Europe PMC PMID:41892036},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41892036},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_d596d807fafa; sha256 50cb7f754d216421f42a58f54e325ba23a599cd2844f964cae98760d112965c6},
  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/41892036. Agents can read the archived copy with the MCP tool read_document.