ResearchTrend.AI
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes

Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes

Chemical Engineering and Science (CES), 2021
E. Esche
Torben Talis
J. Weigert
Gerardo Brand-Rihm
Byungjun You
Christian Hoffmann
J. Repke
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes"

2 / 2 papers shown
Title
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
B. Grimstad
Kristian Lovland
Lars Imsland
V. Gunnerud
134
1
0
18 Jul 2024
Multi-task and few-shot learning in virtual flow metering
Multi-task and few-shot learning in virtual flow meteringNordic Machine Intelligence (NMI), 2023
B. Grimstad
Fadhil G. Al-Amran
Maitham G. Yousif
251
2
0
27 Sep 2023

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.