Cargando…
Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan
Water quality status in terms of one crucial parameter such as dissolved oxygen (D.O.) has been an important concern in the Fei-Tsui reservoir for decades since it’s the primary water source for Taipei City. Therefore, this study aims to develop a reliable prediction model to predict D.O. in the Fei...
Autores principales: | Ziyad Sami, Balahaha Fadi, Latif, Sarmad Dashti, Ahmed, Ali Najah, Chow, Ming Fai, Murti, Muhammad Ary, Suhendi, Asep, Ziyad Sami, Balahaha Hadi, Wong, Jee Khai, Birima, Ahmed H., El-Shafie, Ahmed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901922/ https://www.ncbi.nlm.nih.gov/pubmed/35256619 http://dx.doi.org/10.1038/s41598-022-06969-z |
Ejemplares similares
-
Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
por: Essam, Yusuf, et al.
Publicado: (2022) -
Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction
por: Heng, Seah Yi, et al.
Publicado: (2022) -
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
por: Essam, Yusuf, et al.
Publicado: (2022) -
Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms
por: Murti, Muhammad Ary, et al.
Publicado: (2022) -
A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
por: Lai, Vivien, et al.
Publicado: (2022)