As the pursuit of “carbon neutrality” gains momentum, the emphasis on low-carbon
solutions, emphasizing energy conservation and resource reuse, has introduced fresh …

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 …

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 …

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

Water pollution occurs mainly due to inorganic and organic pollutants, such as nutrients,
heavy metals and persistent organic pollutants. For the modeling and optimization of …

Scientists have long looked to nature and biology in order to understand and model
solutions for complex real-world problems. The study of bionics bridges the functions …

In wastewater monitoring, detecting extremely high pollutant concentrations is necessary to
properly calibrate the treatment process. However, existing hardware sensors have a limited …

The on-line monitoring of wastewater treatment plant (WWTP) operations is a challenge due
to interference and breakdown from the harsh conditions endured by sensors in wastewater …

Artificial intelligence (AI) is nowadays an upcoming technology. It is a practice of simulating
human intelligence for varied applications. When compared with the standard practices, AI is …