Data-driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins.
Sign Up to like & getrecommendations! Published in 2023 at "Biotechnology and bioengineering"
DOI: 10.1002/bit.28405
Abstract: Recently, the advancement in process analytical technology and artificial intelligence (AI) has enabled the generation of enormous culture data sets from biomanufacturing processes that produce various recombinant therapeutic proteins (RTPs), such as monoclonal antibodies (mAbs). Thus,… read more here.
Keywords: culture; cell culture; cell; multistep ahead ... See more keywords
Dynamic Surrogate Modeling for Multistep-ahead Prediction of Multivariate Nonlinear Chemical Processes
Sign Up to like & getrecommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.0c00729
Abstract: This work proposes a methodology for multivariate dynamic modeling and multistep-ahead prediction of nonlinear systems using surrogate models for the application to nonlinear chemical processes. Th... read more here.
Keywords: nonlinear chemical; ahead prediction; modeling multistep; multistep ahead ... See more keywords
Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3201228
Abstract: The prediction of sea surface temperature anomalies (SSTA) is vital to the study of marine ecosystems and global climate. The SSTA can be accurately forecasted one step ahead by numerical and statistical methods. However, multistep-ahead… read more here.
Keywords: multistep ahead; prediction; ssta; model ... See more keywords
A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1575303
Abstract: In this paper, a novel multistep ahead predictor based upon a fusion of kernel recursive least square (KRLS) and Gaussian process regression (GPR) is proposed for the accurate prediction of the state of health (SoH)… read more here.
Keywords: health; multistep ahead; ahead prediction; prediction state ... See more keywords