The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

The field of machine learning is comprised of techniques, which have proven powerful
approaches to knowledge discovery and construction of 'digital twins' in the highly …

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

Abstract β-Carotene has a positive impact on human health as a precursor of vitamin A.
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …

Process modeling began with the use of first principles resulting in 'white-box'models which
are complex but accurately explain the dynamics of the process. Recently, there has been …

The baculovirus‐insect cell expression system is widely used in producing recombinant
proteins. This review is focused on the use of this expression system in developing …

Hybrid modelling combines data-driven and mechanistic modelling, providing a cost-
effective solution to modelling complex biochemical reaction kinetics when the underlying …

Insect cells (IC) and particularly lepidopteran cells are an attractive alternative to mammalian
cells for biomanufacturing. Insect cell culture, coupled with the lytic expression capacity of …

Astaxanthin is a high‐value compound commercially synthesized through
Xanthophyllomyces dendrorhous fermentation. Using mixed sugars decomposed from …

In this paper, a computational framework is proposed that merges mechanistic modeling
with deep neural networks obeying the Systems Biology Markup Language (SBML) …