2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) 2021
DOI: 10.1109/cmi50323.2021.9362948
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Deep Learning based Soft Sensor for Bioprocess Application

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Cited by 7 publications
(1 citation statement)
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“…Partial least squares regression with Fourier transform mid infrared spectroscopy Monitor HCP and aggregates at line [128] Deep neural network Lactose and ethanol concentration measurement [129] Linear regression on data obtained from biocalorimetry in combination with bioreactor off gas analysis Biomass concentration measurement [130] Advancements in miniaturization of sensors, development of smart sensors, and approaches for hardware-software integration (digital highway like fieldbus/profibus or wireless) has given an extra advantage to its adoption in manufacturing. Industry 4.0 requires computer algorithm based monitoring and cyber-physical system control.…”
Section: Technique Application Referencementioning
confidence: 99%
“…Partial least squares regression with Fourier transform mid infrared spectroscopy Monitor HCP and aggregates at line [128] Deep neural network Lactose and ethanol concentration measurement [129] Linear regression on data obtained from biocalorimetry in combination with bioreactor off gas analysis Biomass concentration measurement [130] Advancements in miniaturization of sensors, development of smart sensors, and approaches for hardware-software integration (digital highway like fieldbus/profibus or wireless) has given an extra advantage to its adoption in manufacturing. Industry 4.0 requires computer algorithm based monitoring and cyber-physical system control.…”
Section: Technique Application Referencementioning
confidence: 99%