Review of adaptation mechanisms for data-driven soft sensors

By Petr Kadlec, R. Grbić, Bogdan Gabrys. Computers and Chemical Engineering, 2011

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes (2021, methodology): “Adaptive datadriven soft sensing approaches based on various machine learning techniques have been compared in [68].”
Review of soft sensor methods for regression applications (2016, methodology): “There are two distinct model approaches applied for SSRs development.”
Industrial applications of digital twins (2021, background): “Different from the devices, the functions of which are based on the energy transformation principles, smart sensing and intelligent perception systems take multi-source signals as inputs and deliver more reliable results with the aid of information fusion and adaptive learning [39,40].”