Data-driven modelling for resource recovery: Data volume, variability, and visualisation for an industrial bioprocess (2022)
Attributed to:
Connected Everything II: Accelerating Digital Manufacturing Research Collaboration and Innovation
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.bej.2022.108499
Publication URI: http://dx.doi.org/10.1016/j.bej.2022.108499
Type: Journal Article/Review
Parent Publication: Biochemical Engineering Journal