Recent Advances in Decoupling Strategies for Soft Sensors. [PDF]
Yuan Y +4 more
europepmc +1 more source
A Channel-Independent Anchor Graph-Regularized Broad Learning System for Industrial Soft Sensors. [PDF]
Zhang Z, Yang M, Xie C, Xu Z, Yin P.
europepmc +1 more source
Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels. [PDF]
He W +8 more
europepmc +1 more source
Application of In-Situ and Soft-Sensors for Estimation of Recombinant P. pastoris GS115 Biomass Concentration: A Case Analysis of HBcAg (Mut+) and HBsAg (MutS) Production Processes under Varying Conditions. [PDF]
Grigs O, Bolmanis E, Galvanauskas V.
europepmc +1 more source
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
AutoML-Driven Soft Sensors for Real-Time Monitoring of Amino Acids in Mammalian Perfusion Cultures. [PDF]
Kim SJ, Lee M, Kim D, Yoon S, Lee DY.
europepmc +1 more source
Soft sensors for a sensing-actuation system with high bladder voiding efficiency. [PDF]
Arab Hassani F +4 more
europepmc +1 more source
Optimized NRBO-VMD-AM-BiLSTM Hybrid Architecture for Enhanced Dissolved Gas Concentration Prediction in Transformer Oil Soft Sensors. [PDF]
Wang N, Li W, Li X.
europepmc +1 more source
A Novel Method with Stacking Learning of Data-Driven Soft Sensors for Mud Concentration in a Cutter Suction Dredger. [PDF]
Wang B +6 more
europepmc +1 more source
Evaluating Machine Learning-Based Soft Sensors for Effluent Quality Prediction in Wastewater Treatment Under Variable Weather Conditions. [PDF]
Voipan D, Voipan AE, Barbu M.
europepmc +1 more source

