Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …

In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …

Wastewater treatment plants (WWTPs) are energy-intensive facilities that fulfill stringent
effluent quality norms. Energy consumption prediction in WWTPs is crucial for cost savings …

Computation methods or molecular simulations can be used to identify materials with high
adsorption capacity for wastewater treatment rapidly. They can also provide complementary …

The need for reliable, state-of-the-art environmental investigations and pioneering
approaches to address pressing ecological dilemmas and to nurture the sustainable …

Efficient wastewater collection is a critical concern in the development of smart cities, where
sustainable urban infrastructure is paramount. In the context of smart city wastewater …

Abstract Machine learning (ML) models are widely used methods for analyzing data from
sensors and satellites to monitor climate change, predict natural disasters, and protect …

Considering the importance of nitrogen and organic carbon in supporting the growth of
various algae and organic matters, that improves eutrophication along the water bodies. It is …

The two main things needed to fulfill the world's impending need for water in the face of the
widespread water crisis are collecting water and recycling. To do this, the present study has …

Reliable, cutting-edge environmental research and innovative solutions to critical
environmental challenges are essential for a sustainable future. The desalination industry is …