Artificial intelligence (AI) has emerged as a powerful tool to resolve real-world problems and
has gained tremendous attention due to its applications in various fields. In recent years, AI …

Membrane fouling is one of major obstacles in the application of membrane technologies.
Accurately predicting or simulating membrane fouling behaviours is of great significance to …

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 …

The development of computer aid models for heavy metals (HMs) simulation has been
remarkably advanced over the past two decades. Several machine learning (ML) models …

The use of machine learning techniques in waste management studies is increasingly
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …

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 …

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 …

Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

A wide range of dyes are being disposed in water bodies from several industrial runoff and
the quantity is rapidly increasing over the years. From an environmental safety point of view …

This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …