Projects: Industrial-scale penicillin simulation, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models
Institutions: Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, INRAE
https://orcid.org/0000-0003-4717-3040
Artificial intelligence (AI) and machine learning (ML) models as well as Digital shadows and Digital twins as well as Digital shadows and Digital twins have been, and are being, developed for a variety of applications, including industrial process supervision, bioprocess optimization, energy management, and environmental monitoring. In cases where models have the aim to classify, predict, or forecast a variable of interest then these models must become deployable in real-time so that their ...
Programme: Bioindustry 4.0
Public web page: https://stamm.inrae.fr
Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services
Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research ...
Programme: Bioindustry 4.0
Public web page: https://www.bioindustry4.eu/
Start date: 1st Jan 2023
End date: 31st Dec 2026
