Biological 2,4,6-trinitrotoluene removal by extended aeration activated sludge: optimization using artificial neural network

Hossein Karimi, Farzaneh Mohammadi, Saeed Rajabi, Amir Hossein Mahvi, Ghader Ghanizadeh

Open source

DOI
10.1038/s41598-023-34657-z
Published
2023-06-03
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-023-34657-z,
  title = {Biological 2,4,6-trinitrotoluene removal by extended aeration activated sludge: optimization using artificial neural network},
  author = {Hossein Karimi and Farzaneh Mohammadi and Saeed Rajabi and Amir Hossein Mahvi and Ghader Ghanizadeh},
  year = {2023},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-023-34657-z},
  url = {https://doi.org/10.1038/s41598-023-34657-z}
}

RIS

TY  - JOUR
TI  - Biological 2,4,6-trinitrotoluene removal by extended aeration activated sludge: optimization using artificial neural network
AU  - Hossein Karimi
AU  - Farzaneh Mohammadi
AU  - Saeed Rajabi
AU  - Amir Hossein Mahvi
AU  - Ghader Ghanizadeh
PY  - 2023
JO  - Scientific Reports
DO  - 10.1038/s41598-023-34657-z
UR  - https://doi.org/10.1038/s41598-023-34657-z
ER  - 

APA

Karimi, H., Mohammadi, F., Rajabi, S., Mahvi, A. H., & Ghanizadeh, G. (2023). Biological 2,4,6-trinitrotoluene removal by extended aeration activated sludge: optimization using artificial neural network. Scientific Reports. https://doi.org/10.1038/s41598-023-34657-z

Source records