Application of machine learning in predicting sources of water pollution in the Euphrates and Tigris rivers in Iraq

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Detalhes bibliográficos
Publicado no:	International Journal of Aquatic Biology vol. 12, no. 6 (Dec 2024), p. 581
Autor principal:	Rashid, Mohammed Kareem
Outros Autores:	Salman, Israa Ramadhan, Obaid, Abbas Luaibi, Hassan, Saif Al-Deen H, Al-musawi, Mohammed Raoof, Al-Saady, Moumal
Publicado em:	Iranian Society of Ichthyology
Assuntos:	Pesticides Agricultural runoff Environmental monitoring Algal blooms Environmental degradation Resource management Multilayer perceptrons Public health Macroinvertebrates Biodiversity Rivers Machine learning Contamination Particulates Prediction models Decision trees Eutrophication Sewage Water quality Water resources management Environmental quality Clustering Aerial surveys Algae Algorithms Water resources Pollution sources Pollution Mineral composition Aerial photographs Ecosystems Multilayers Water pollution Aquatic ecosystems Aerial photography Learning algorithms Suspended particulate matter Control methods Zoobenthos Habitats Impact prediction Environmental
Acesso em linha:	Citation/Abstract Full Text - PDF
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