Modeling wastewater processes supports tasks such as process prediction, soft sensing,
data analysis and computer assisted design of wastewater systems. Wastewater treatment …

This study identified literatures from the Web of Science Core Collection on the application
of artificial intelligence in wastewater treatment from 2011 to 2022, through bibliometrics, to …

Water supply canal systems (WSCSs) have a significant environmental and energetic impact
due to the large amount of energy consumed in water pum** and water losses. The safe …

Actor‐critic (AC) methods have emerged as an important class of reinforcement learning
(RL) paradigm that enables model‐free control by acting on a process and learning from the …

Optimal operating systems have been widely employed to improve the economic and
environmental performance of wastewater treatment plants (WWTPs) for efficiently treating …

Wastewater treatment plants are complex, non-linear, engineered systems of physical,
biological and chemical processes operating at different timescales. Sensor systems are …

The escalating global demand for clean water mandates the development of inventive
approaches to wastewater treatment systems. This paper investigates the incorporation of …

With the advancements in technology, robots have gradually replaced humans in different
aspects. Allowing robots to handle multiple situations simultaneously and perform different …

Generally, photovoltaic (PV) fault detection approaches can be divided into two groups: end-
to-end and threshold methods. The end-to-end method typically uses a deep neural network …

Intelligent control is a promising approach to achieve stable and sustainable operation at
municipal wastewater treatment plants (WWTPs). A desirable WWTP intelligent control …