Nowadays, sewage treatment in sustainable cities attracts more researchers both from
academic and industrial communities. Especially, since industrial sewage is normally highly …

Due to the comprehensive sources of urban sewage, the contents of pollutants in urban
sewage are quite complex and fluctuate frequently. The unstable status of both sewage …

It is widely believed that effective prediction of wastewater treatment results (WTR) is
conducive to precise control of aeration amount in the wastewater treatment process (WTP) …

Timely and accurate assessment of key sewage quality indicators based on deep learning
models has attracted much attention for intelligent wastewater treatment. Decomposition …

In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve
practical problems, has attracted much attention and has been widely used in various areas …

Quickly and accurately grasping the water quality in the drainage network is essential for the
management and early warning of the urban water environment. Modeling-based detection …

Point source pollution in urban drainage networks, which is difficult to monitor and control,
has been regarded as an intractable problem. To solve the problem, key water quality …

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 …

Developing an efficient model for Wastewater Treatment Plant (WWTP) non-linear process
simulation is a vital tool for managing wastewater reuse and recycling. A novel evolving …

The accurate prediction and assessment of effluent quality in wastewater treatment plants
(WWTPs) are paramount for the efficacy of sewage treatment processes. Neural network …