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

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Opis bibliograficzny
Wydane w:	International Journal of Aquatic Biology vol. 12, no. 6 (Dec 2024), p. 581
1. autor:	Rashid, Mohammed Kareem
Kolejni autorzy:	Salman, Israa Ramadhan, Obaid, Abbas Luaibi, Hassan, Saif Al-Deen H, Al-musawi, Mohammed Raoof, Al-Saady, Moumal
Wydane:	Iranian Society of Ichthyology
Hasła przedmiotowe:	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
Dostęp online:	Citation/Abstract Full Text - PDF
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