The Concept of Interactive Dynamic Intelligent Virtual Sensors (IDIVS): Bridging the Gap between Sensors, Services, and Users through Machine Learning

The Concept of Interactive Dynamic Intelligent Virtual Sensors (IDIVS): Bridging the Gap between Sensors, Services, and Users through Machine Learning

This paper concerns the novel concept of an Interactive Dynamic Intelligent Virtual Sensor (IDIVS), which extends virtual/soft sensors towards making use of user input through interactive learning (IML) and transfer learning. In research, many studies can be found on using machine learning in this d...

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Bibliographic Details
Main Authors: Jan A. Persson, Joseph Bugeja, Paul Davidsson, Johan Holmberg, Victor R. Kebande, Radu-Casian Mihailescu, Arezoo Sarkheyli-Hägele, Agnes Tegen
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
virtual sensors
soft sensors
sensor data fusion
online learning
interactive machine learning
transfer learning
Online Access:https://www.mdpi.com/2076-3417/13/11/6516

Internet

https://www.mdpi.com/2076-3417/13/11/6516

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