Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor Design. [PDF]
Ind Eng Chem Res, 2022 Kay S +6 more
europepmc +1 more source
Modeling and Optimization of an Enhanced Soft Sensor for the Fermentation Process of Pichia pastoris. [PDF]
Sensors (Basel)Wang B, Yu A, Wang H, Liu J.
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A recurrent neural network for soft sensor development using CHO stable pools in fed-batch process for SARS-CoV-2 spike protein production as a vaccine antigen. [PDF]
Biotechnol ProgReyes SJ +4 more
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Soft-sensor model development for CHO growth/production, intracellular metabolite, and glycan predictions. [PDF]
Front Mol BiosciLiang G, Sha S, Wang Z, Liu H, Yoon S.
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This report will include a comparison of different smart material technologies for sensing and the selection and optimization of the ones fitting better the application of this project. The sensors using these materials will be optimized to measure the desired physical values (strain, force, bending, etc.) (M12).
openaire +1 more source
An Algorithm for Soft Sensor Development for a Class of Processes with Distinct Operating Conditions. [PDF]
Sensors (Basel)Stanišić D +4 more
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A Multivariable Probability Density-Based Auto-Reconstruction Bi-LSTM Soft Sensor for Predicting Effluent BOD in Wastewater Treatment Plants. [PDF]
Sensors (Basel)Li W, Li Y, Li D, Zhou J.
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Effluent quality soft sensor for wastewater treatment plant with ensemble sparse learning-based online next generation reservoir computing. [PDF]
Water Res XFang G +5 more
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Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty-Aware Soft Sensor Paradigm. [PDF]
Sensors (Basel)Al-Saidi M +3 more
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A Hybrid Soft Sensor Model for Measuring the Oxygen Content in Boiler Flue Gas. [PDF]
Sensors (Basel)Wang Y, Li Z, Zhang N.
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