Review of nitrogen compounds prediction in water bodies using artificial neural networks and other models
agricultural land; artificial neural network; complexity; concentration (composition); fertilizer application; nitrogen; optimization; prediction; stream; water quality; water treatment
Saved in:
Main Authors: | Kumar P., Lai S.H., Wong J.K., Mohd N.S., Kamal M.R., Afan H.A., Ahmed A.N., Sherif M., Sefelnasr A., El-Shafie A. |
---|---|
Other Authors: | 57206939156 |
Format: | Review |
Published: |
MDPI
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review of nitrogen compounds prediction in water bodies using artificial neural networks and other models
by: Kumar, Pavitra, et al.
Published: (2020) -
Optimised neural network model for river-nitrogen prediction utilizing a new training approach
by: Kumar P., et al.
Published: (2023) -
Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
by: Kumar P., et al.
Published: (2023) -
Artificial intelligence models for methylene blue removal using functionalized carbon nanotubes
by: Mijwel A.-A.S., et al.
Published: (2024) -
Carbon dynamic in sandy soil artificially contaminated with petroleum in the presence of various forms of inorganic nitrogen for bioremediation
by: Moghaddam, H.A., et al.
Published: (2016)