Recent trends on hybrid modeling for Industry 4.0
The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …
control, diagnosis, optimization, and design, especially since the third industrial revolution …
[HTML][HTML] Machine learning for biochemical engineering: A review
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 …
approaches to knowledge discovery and construction of 'digital twins' in the highly …
Hybrid semi-parametric modeling in process systems engineering: Past, present and future
M Von Stosch, R Oliveira, J Peres… - Computers & Chemical …, 2014 - Elsevier
Hybrid semi-parametric models consist of model structures that combine parametric and
nonparametric submodels based on different knowledge sources. The development of a …
nonparametric submodels based on different knowledge sources. The development of a …
Physics-informed neural networks for hybrid modeling of lab-scale batch fermentation for β-carotene production using Saccharomyces cerevisiae
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 …
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …
Deep hybrid modeling of chemical process: Application to hydraulic fracturing
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 …
are complex but accurately explain the dynamics of the process. Recently, there has been …
Protein production using the baculovirus‐insect cell expression system
A Contreras‐Gómez, A Sánchez‐Mirón… - Biotechnology …, 2014 - Wiley Online Library
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 …
proteins. This review is focused on the use of this expression system in developing …
[HTML][HTML] Investigating 'greyness' of hybrid model for bioprocess predictive modelling
Hybrid modelling combines data-driven and mechanistic modelling, providing a cost-
effective solution to modelling complex biochemical reaction kinetics when the underlying …
effective solution to modelling complex biochemical reaction kinetics when the underlying …
Insect cells as factories for biomanufacturing
JC Drugmand, YJ Schneider, SN Agathos - Biotechnology advances, 2012 - Elsevier
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 …
cells for biomanufacturing. Insect cell culture, coupled with the lytic expression capacity of …
Kinetic and hybrid modeling for yeast astaxanthin production under uncertainty
F Vega‐Ramon, X Zhu, TR Savage… - Biotechnology and …, 2021 - Wiley Online Library
Astaxanthin is a high‐value compound commercially synthesized through
Xanthophyllomyces dendrorhous fermentation. Using mixed sugars decomposed from …
Xanthophyllomyces dendrorhous fermentation. Using mixed sugars decomposed from …
A general hybrid modeling framework for systems biology applications: Combining mechanistic knowledge with deep neural networks under the SBML standard
In this paper, a computational framework is proposed that merges mechanistic modeling
with deep neural networks obeying the Systems Biology Markup Language (SBML) …
with deep neural networks obeying the Systems Biology Markup Language (SBML) …