Multiple feature fusion transformer for modeling penicillin fermentation process with unequal sampling intervals

Bioremediation potential of Dicentrarchus labrax fish scales for dye-based emerging contaminants by ANN–GA hybrid modeling

(2022) Ícaro Mota Oliveira et al.   BIOPROCESS AND BIOSYSTEMS ENGINEERING

Multi-output soft sensor modeling approach for penicillin fermentation process based on features of big data

(2022) Longhao Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Novel Transformer Based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes

(2021) Zhiqiang Geng et al.   IEEE Transactions on Industrial Informatics

Time–space coupled learning method for model reduction of distributed parameter systems with encoder‐decoder and RNN

(2020) Xiangyun Qing et al.   AICHE JOURNAL

Comparative efficacy of machine-learning models in prediction of reducing uncertainties in biosurfactant production

(2019) Srdjan Jovic et al.   BIOPROCESS AND BIOSYSTEMS ENGINEERING

Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction

(2018) Kai Wang et al.   IEEE Transactions on Industrial Informatics

Dynamic gene expression regulation model for growth and penicillin production in Penicillium chrysogenum

(2010) Rutger D. Douma et al.   BIOTECHNOLOGY AND BIOENGINEERING