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

Сохранить в:

Библиографические подробности
Опубликовано в::	International Journal of Aquatic Biology vol. 12, no. 6 (Dec 2024), p. 581
Главный автор:	Rashid, Mohammed Kareem
Другие авторы:	Salman, Israa Ramadhan, Obaid, Abbas Luaibi, Hassan, Saif Al-Deen H, Al-musawi, Mohammed Raoof, Al-Saady, Moumal
Опубликовано:	Iranian Society of Ichthyology
Предметы:	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
Online-ссылка:	Citation/Abstract Full Text - PDF
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Ваш комментарий будет первым!