[HTML][HTML] A review and perspective on hybrid modelling methodologies
The term hybrid modeling refers to the combination of parametric models (typically derived
from knowledge about the system) and nonparametric models (typically deduced from data) …
from knowledge about the system) and nonparametric models (typically deduced from data) …
From Shallow to Deep Bioprocess Hybrid Modeling: Advances and Future Perspectives
Deep learning is emerging in many industrial sectors in hand with big data analytics to
streamline production. In the biomanufacturing sector, big data infrastructure is lagging …
streamline production. In the biomanufacturing sector, big data infrastructure is lagging …
[HTML][HTML] Hybrid Modeling for On-Line Fermentation Optimization and Scale-Up: A Review
M Albino, CL Gargalo, G Nadal-Rey, MO Albæk… - Processes, 2024 - mdpi.com
Modeling is a crucial tool in the biomanufacturing industry, namely in fermentation
processes. This work discusses both mechanistic and data-driven models, each with unique …
processes. This work discusses both mechanistic and data-driven models, each with unique …
Hybrid Modeling of Fed-Batch Cell Culture Using Physics-Informed Neural Network
S Yang, W Fahey, B Truccollo, J Browning… - Industrial & …, 2024 - ACS Publications
Fed-batch cell culture is widely used in the biopharmaceutical industry to manufacture life-
saving therapeutics. Biopharmaceutical manufacturing processes can be variable due to the …
saving therapeutics. Biopharmaceutical manufacturing processes can be variable due to the …
Data-driven inference of bioprocess models: A low-rank matrix approximation approach
Following the recent advent of Process Analytical Technologies, dataset production has
undergone significant leverage. In this new abundance of data, isolating meaningful …
undergone significant leverage. In this new abundance of data, isolating meaningful …
[PDF][PDF] Data-driven inference of bioprocess models: A low-rank matrix approximation approach
L Dewasme - Journal of Process Control, 2024 - orbi.umons.ac.be
Following the recent advent of Process Analytical Technologies, dataset production has
undergone significant leverage. In this new abundance of data, isolating meaningful …
undergone significant leverage. In this new abundance of data, isolating meaningful …
[PDF][PDF] Digital Chemical Engineering
The term hybrid modeling refers to the combination of parametric models (typically derived
from knowledge about the system) and nonparametric models (typically deduced from data) …
from knowledge about the system) and nonparametric models (typically deduced from data) …