Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

Hybrid semi-parametric models consist of model structures that combine parametric and
nonparametric submodels based on different knowledge sources. The development of a …

This review paper focuses on modelling of wastewater treatment plants (WWTP). White-box
modelling is widely applied in this field, with learning, design and process optimisation as …

Solid-state fermentation (SSF) has developed in eastern countries over many centuries, and
has enjoyed broad application in these regions to date. By contrast, in western countries the …

Facing an unprecedented population growth, it is difficult to overstress the assets for
wastewater treatment of waste stabilization ponds (WSPs), ie high removal efficiency …

Aims: The purpose of this study was to develop a reliable hybrid neural network (HNN)
model for heterotrophic growth of Chlorella, based on which optimization for fed‐batch (FB) …

Optimization based control aims at maximizing the economical performance of a plant in a
transient environment employing nonlinear models. Model quality is crucial for achieving …

Advancing microbial pretreatment of lignocellulose has the potential not only to reduce the
carbon footprint and environmental impacts of the pretreatment processes from cradle-to …

The evolution of water activity during solid-state cultivation of Gibberella fujikuroi was
followed. A typical organic substrate, wheat bran and soluble starch, was used. Culture …

Fed-batch cultures are the preferred operation mode for industrial bioprocesses requiring
high cellular densities. Avoids accumulation of major fermentation by-products due to …