Quantification of river total phosphorus using integrative artificial intelligence models-Reference-Cited by-同舟云学术

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Quantification of river total phosphorus using integrative artificial intelligence models

Published:2023-09 Issue: Volume:153 Page:110437
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Kim Sungwon,Seo Youngmin,Malik Anurag,Kim Seunghyun,Heddam Salim,Yaseen Zaher Mundher,Kisi Ozgur,Singh Vijay P.

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference78 articles.

1. Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index;Abba;Environ. Sci. Pollut. Res.,2020

2. Intelligent process optimisation based on cutting-edge emotional learning for performance evaluation of NF/RO of seawater desalination plant;Abba;Desalination,2023

3. AL-Areeq, N.M., Quriaa, H.A., AL-Areeq, A.M., Al-Sabri, A.M., 2021. Evaluation of Groundwater Quality Variations Using Geographical Information System (GIS) and Multivariate Statistical Techniques: A Case Study from Qa’Jahran Basin, Dhamar, Yemen, in: Water Resources in Arid Lands: Management and Sustainability. Springer, pp. 131–145.

4. On the implementation of a novel data-intelligence model based on extreme learning machine optimized by bat algorithm for estimating daily chlorophyll-a concentration: case studies of river and lake in USA;Alizamir;J. Clean. Prod.,2021

5. Application of computational model based probabilistic neural network for surface water quality prediction;Allawi;Mathematics,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monitoring of Total Phosphorus in Urban Water Bodies Using Silicon Crystal-Based FTIR-ATR Coupled with Different Machine Learning Approaches;Water;2024-08-31

2. Three-dimensional reconstruction of the furrow shape in orchards using a low-cost lidar;Frontiers in Sustainable Food Systems;2023-07-21

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