Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …

Water management is one of the crucial topics discussed in most of the international forums.
Water harvesting and recycling are the major requirements to meet the global upcoming …

Abstract Purpose Life Cycle Assessment (LCA) is the process of systematically assessing
impacts when there is an interaction between the environment and human activity. Machine …

In order to promote low-carbon sustainable operational management of the wastewater
treatment plants (WWTPs), automatic control and optimal operation technologies, which …

Treatment of wastewater using activated sludge relies on several complex, nonlinear
processes. While activated sludge systems can provide high levels of treatment, including …

The real-time control (RTC) of urban drainage systems can make full use of the capabilities
of existing infrastructures to mitigate combined sewer overflow (CSO) and urban flooding …

This paper presents a literature review of reinforcement learning (RL) and its applications to
process control and optimization. These applications were evaluated from a new …

The operation of modern wastewater treatment facilities is a balancing act in which a
multitude of variables are controlled to achieve a wide range of objectives, many of which …

Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sector to mitigate climate change. An integrated …

Wastewater treatment process control optimization is a complex task in a highly nonlinear
environment. Reinforcement learning (RL) is a machine learning technique that stands out …