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Deep Learning for Dissolved Oxygen in Lakes by PRAVIN KHANDVE is a document available to read on EtoBox.

What is Deep Learning for Dissolved Oxygen in Lakes about?

This study investigates the use of Deep Neural Networks (DNN) to predict Dissolved Oxygen (DO) levels in Lake Kastoria, Greece, utilizing a dataset collected from telemetric stations over a period of two and a half years. The research highlights the significance of machine learning in monitoring water quality, particularly in polluted environments, and demonstrates that well-trained DNNs can effectively predict DO with good accuracy. The findings aim to support water quality management and provide real-time

Author

PRAVIN KHANDVE

Language

EN