| 1 |
Experimental verification and comparison of model predictive, PID and model inversion control in a Penicillium chrysogenum fed-batch process
Kager J, Tuveri A, Ulonska S, Kroll P, Herwig C
Process Biochemistry, 90, 1, 2020 |
| 2 |
Data-driven soft sensor modeling based on twin support vector regression for cane sugar crystallization
Meng YM, Lan QL, Qin J, Yu SS, Pang HF, Zheng KY
Journal of Food Engineering, 241, 159, 2019 |
| 3 |
Macro-mixing characterisation of a stirred model fermenter of non-Newtonian liquid by flow following sensor particles and ERT
Reinecke SF, Deutschmann A, Jobst K, Hampel U
Chemical Engineering Research & Design, 118, 1, 2017 |
| 4 |
Measuring number, mass, and size of exhaust particles with diffusion chargers: The dual Pegasor Particle Sensor
Amanatidis S, Maricq MM, Ntziachristos L, Samaras Z
Journal of Aerosol Science, 92, 1, 2016 |
| 5 |
Advances in resistive pulse sensors: Devices bridging the void between molecular and microscopic detection
Kozak D, Anderson W, Vogel R, Trau M
Nano Today, 6(5), 531, 2011 |
| 6 |
Particle size effects on an optical fiber sensor response
Bellino I, Bergougnoux L, Misguich-Ripault J, Firpo JL
Powder Technology, 115(1), 68, 2001 |
