With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …

Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …

Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …

Artificial intelligence (AI) is an emerging powerful novel technology that can model real-time
problems involving numerous intricacies. The modeling capabilities of AI techniques are …

Estimating water quality has been one of the significant challenges faced by the world in
recent decades. This paper presents a water quality prediction model utilizing the principal …

Wastewater treatment is an important step for pollutant reduction and the promotion of water
environment quality. The complexity of natural conditions, influent shock, and wastewater …

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 companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …

Wastewater treatment plant (WWTP) operation is usually intricate due to large variations in
influent characteristics and nonlinear sewage treatment processes. Effective modeling of …