It is challenging to introduce an optimization strategy for enhancing the operational
performance of wastewater treatment process (WWTP) on account of its multi-task …

Wastewater treatment facilities are complex environments with many unit treatment
processes in series, in parallel, and connected by feedback loops. As such, addressing …

Small-scale distributed water treatment equipment such as sequencing batch reactor (SBR)
is widely used in the field of rural domestic sewage treatment because of its advantages of …

In this study, the stability of the total nitrogen removal efficiency (TNRE) was modeled using
an artificial neural network (ANN)-based binary classification model for the anaerobic …

Investigation of the behaviour and complexity of hard-to-measure parameter time series is
not explored to a greater extent before modelling a wastewater treatment facility (WWTF). In …

It is challenging to introduce an optimization method to improve the operation performance
of wastewater treatment process (WWTP) on account of its high energy consumption and …

Models are increasingly being utilized to improve the understanding and operation of
wastewater treatment plants (WWTPs) in the face of escalating water resource challenges …

With the flourishment of sensing technology, a huge mass of functional data can be acquired
to describe the manufacturing process and predict the product quality. But these data …

The selection of an appropriate number of inputs, known as Sliding window length (SWL) for
influent wastewater quality time series forecasting, has been a topic of research for several …

In a hot strip rolling mill (HSRM) process, the prediction of the steel crown is a key factor in
improving the quality of the strip steel. In this paper, a new multibatch feature extraction …