Traditional machine learning (ML) techniques such as support vector machine, logistic
regression, and artificial neural network have been applied most frequently in water quality …

Accurate detection of water quality changes is a crucial task of water companies. Water
supply companies must provide safe drinking water. Nowadays in different areas, we find …

Industry 4.0 will make manufacturing processes smarter but this smartness requires more
environmental awareness, which in case of Industrial Internet of Things, is realized by the …

Various pollutants have had a substantial impact on the quality of water in recent years. The
quality of water directly impacts human health and the environment. The water quality index …

We present and evaluate an IoT-enabled sensing and actuating system for localizing illegal
industrial harsh discharges of polluting wastewater in sewer networks. The special …

To prevent the pollution of water resources, the measurement and the limitation of
wastewater discharges are required. Despite the progress in the field of data acquisition …

Water quality analysis is an emergency approach in today's world because people cannot
survive without it. As a result of urbanization, industrialization, agricultural practices, and …

Water pollution policies have been enacted across the globe to minimize the environmental
risks posed by micropollutants (MPs). For regulative institutions to be able to ensure the …

Maintaining proper green water is important for a fish farming pond. However, it remains
unclear how to translate this important rule into specific water quality characteristics to …

In recent years, smart water sensing technology has played a crucial role in water
management, addressing the pressing need for efficient monitoring and control of water …