Machine Learning and AI-Driven Water Quality Monitoring and Treatment

Machine Learning and AI-Driven Water Quality Monitoring and Treatment

This study examines the latest utilization of the combination of machine learning (ML) and artificial intelligence (AI) in the monitoring and upgrading of water quality, which has become a crucial component of environmental management. In this paper, a thorough examination of modern methods and rece...

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Bibliographic Details
Main Authors: Rajitha Akula, K Aravinda, Nagpal Amandeep, Kalra Ravi, Maan Preeti, Kumar Ashish, Abdul-Zahra Dalael Saad
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Subjects:
machine learning
artificial intelligence
water quality monitoring
water treatment technologies environmental management
ai algorithms in water management
sustainability in water resources
data-driven water treatment
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/35/e3sconf_icarae2023_03012.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/35/e3sconf_icarae2023_03012.pdf

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