Rapid and inexpensive estimation of biochemical oxygen demand and sludge volume index using AI-based soft sensors

Tasneem Abbasi, Fathima Reneeth, S. A. Abbasi

Open source

DOI: 10.1080/09593330.2026.2757103
Published: 2026-11-06
Container: Environmental Technology
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/09593330.2026.2757103,
  title = {Rapid and inexpensive estimation of biochemical oxygen demand and sludge volume index using AI-based soft sensors},
  author = {Tasneem Abbasi and Fathima Reneeth and S. A. Abbasi},
  year = {2026},
  journal = {Environmental Technology},
  doi = {10.1080/09593330.2026.2757103},
  url = {https://doi.org/10.1080/09593330.2026.2757103}
}

RIS

TY  - JOUR
TI  - Rapid and inexpensive estimation of biochemical oxygen demand and sludge volume index using AI-based soft sensors
AU  - Tasneem Abbasi
AU  - Fathima Reneeth
AU  - S. A. Abbasi
PY  - 2026
JO  - Environmental Technology
DO  - 10.1080/09593330.2026.2757103
UR  - https://doi.org/10.1080/09593330.2026.2757103
ER  -

APA

Abbasi, T., Reneeth, F., & Abbasi, S. A. (2026). Rapid and inexpensive estimation of biochemical oxygen demand and sludge volume index using AI-based soft sensors. Environmental Technology. https://doi.org/10.1080/09593330.2026.2757103

Source records

crossref · retrieved 2026-11-07T22:41:25.092Z