Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures.
- DOI
- 10.2166/wst.2023.161
- Published
- 2023 Jun
- Container
- Water science and technology : a journal of the International Association on Water Pollution Research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2166/wst.2023.161,
title = {Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures.},
author = {Rao KS and Tirth V and Almujibah H and Alshahri AH and Hariprasad V and Senthilkumar N},
year = {2023},
journal = {Water science and technology : a journal of the International Association on Water Pollution Research},
doi = {10.2166/wst.2023.161},
url = {https://doi.org/10.2166/wst.2023.161}
}RIS
TY - JOUR TI - Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures. AU - Rao KS AU - Tirth V AU - Almujibah H AU - Alshahri AH AU - Hariprasad V AU - Senthilkumar N PY - 2023 JO - Water science and technology : a journal of the International Association on Water Pollution Research DO - 10.2166/wst.2023.161 UR - https://doi.org/10.2166/wst.2023.161 ER -
APA
KS, R., V, T., H, A., AH, A., V, H., & N, S. (2023). Optimization of water reuse and modelling by saline composition with nanoparticles based on machine learning architectures.. Water science and technology : a journal of the International Association on Water Pollution Research. https://doi.org/10.2166/wst.2023.161
Source records
- pubmed · retrieved 2026-09-26T19:10:36.164Z