Jan 10, 2011 · The aim of this article is to review the discussed mechanisms for soft sensor adaptation. We track the development of adaptive soft sensing from ...
The aim of this article is to provide an overview of adaptive techniques and approaches for data-driven soft sensing research.
Jun 15, 2018 · Review of adaptation mechanisms for data-driven soft sensors. Overview of attention for article published in Computers & Chemical Engineering ...
Aug 31, 2016 · In this paper we are providing a deeper analysis of a soft sensor with multiple AMs, concentrating on the choice and order of AMs' deployment.
May 25, 2023 · A just-in-time adversarial transfer learning (JATL) soft sensing method is developed to enhance multigrade process prediction performance.
... Review of adaptation mechanisms for data-driven soft sensors. Computers & Chemical Engineering 35(1), 1–24 (2011). Article Google Scholar. Lin, B., Recke, B ...
Jun 1, 2021 · This work aims to present a comprehensive review of the developments since the start of the millennium of soft sensing, from the perspective of systems and ...
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Recent data-driven soft sensors often use multiple adaptive mechanisms to cope with non-stationary environments. These mechanisms are usually deployed in a ...
In this article, we review and discuss algorithms for adaptive data-driven soft sensing. In order to be able to provide a comprehensive overview of the ...
Aug 20, 2021 · Among the greatest challenges in soft sensor development for bioprocesses are variable process lengths, multiple process phases, and erroneous model inputs due ...