From smart sensing to adaptive remediation: artificial intelligence and Internet of Things for persistent organic pollutants.

Chawraba K, Hussain A, Alharbi OA, Abdelhaleem A

DOI: 10.1007/s10661-026-15975-x
Published: 2026 Oct 14
Container: Environmental monitoring and assessment
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10661-026-15975-x,
  title = {From smart sensing to adaptive remediation: artificial intelligence and Internet of Things for persistent organic pollutants.},
  author = {Chawraba K and Hussain A and Alharbi OA and Abdelhaleem A},
  year = {2026},
  journal = {Environmental monitoring and assessment},
  doi = {10.1007/s10661-026-15975-x},
  url = {https://doi.org/10.1007/s10661-026-15975-x}
}

RIS

TY  - JOUR
TI  - From smart sensing to adaptive remediation: artificial intelligence and Internet of Things for persistent organic pollutants.
AU  - Chawraba K
AU  - Hussain A
AU  - Alharbi OA
AU  - Abdelhaleem A
PY  - 2026
JO  - Environmental monitoring and assessment
DO  - 10.1007/s10661-026-15975-x
UR  - https://doi.org/10.1007/s10661-026-15975-x
ER  -

APA

K, C., A, H., OA, A., & A, A. (2026). From smart sensing to adaptive remediation: artificial intelligence and Internet of Things for persistent organic pollutants.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15975-x

Source records

pubmed · retrieved 2026-11-10T11:01:53.954Z