Managing waste plastic is a serious global challenge since most of this waste is either
landfilled, incinerated, burned in the open, or littered. Each of these approaches has a large …

Inefficient transesterification, low-quality fuel properties, and high resource consumption are
the bottlenecks associated with conventional biodiesel production. The current research …

Due to the enormous potential of modelling, graph-based approaches have been used for
various applications in the process industries. In this study, we propose a fault detection …

This paper focuses on two types of neural network-based Hammerstein model identification
methods for the acrylamide polymerization reaction of a batch reactor process. The first …

Kraft pulping uses steam and chemicals to convert wood chips to pulp, used for production
of paper, textile fiber or other cellulosic materials, in large batch or continuous digesters …

Developing a reinforcement learning (RL) framework that works satisfactorily in deterministic
and stochastic environments is challenging. To address this problem, a twin agent RL …

Monoclonal antibodies (mAb) are biopharmaceutical products that improve human
immunity. In this work, we propose a multi-actor proximal policy optimization-based …

The control of complex industrial processes has been a forefront research topic. Biodiesel
production, as a typical complex industrial reaction process, exhibits multivariable coupling …

Abstract Purple Photoheterotrophic Bacteria (PPB) are increasingly being applied in
resource recovery from wastewater. Open raceway-pond reactors offer a more cost-effective …

While biofuels have attracted increasing attention as a source of green energy, producing
biofuels from more complex feedstocks is just becoming an area of focus. This research …