Modeling dissolved oxygen concentration using machine learning techniques with dimensionality reduction approach-Reference-Cited by-同舟云学术

Modeling dissolved oxygen concentration using machine learning techniques with dimensionality reduction approach

Published:2023-06-24 Issue:7 Volume:195 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Garabaghi Farid Hassanbaki^ORCID,Benzer Semra^ORCID,Benzer Recep^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10661-023-11492-3.pdf

Reference57 articles.

1. Adnan, R. M., Dai, H. L., Mostafa, R. R., Kulwinder Singh Parmar, K. S., Heddam, S., Kisi, O. (2022). Modeling multistep ahead dissolved oxygen concentration using improved support vector machines by a hybrid metaheuristic algorithm. Sustainability, 14,3470. https:// doi.org/https://doi.org/10.3390/su14063470

2. Ahmed, M. H., Lin, L. S. (2021). Dissolved oxygen concentration predictions for running waters with different land use land cover using a quantile regression forest machine learning technique. Journal of Hydrology, 597, 126213. https://doi.org/10.1016/j.jhydrol.2021.126213

3. Akyildiz, G. K., & Duran, M. (2021). Evaluation of the impact of heterogeneous environmental pollutants on benthic macroinvertebrates and water quality by long-term monitoring of the Buyuk Menderes River Basin. Environmental Monitoring and Assessment, 193(5), 1–23. https://doi.org/10.1007/s10661-021-08981-8

4. Amid, S., & Gundoshmian, T. M. (2016). Prediction of output energies for broiler production using linear regression, ANN (MLP, RBF), and ANFIS models. Environmental Progress & Sustainable Energy, 36(2), 577–585. https://doi.org/10.1002/ep.12448

5. Araoye, P. A. (2009). The seasonal variation of pH and dissolved oxygen (DO2) concentration in Asa Lake Ilorin. Nigeria. International Journal of Physical Sciences, 4(5), 271–274.

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