Data-Driven Virtual Sensing for Electrochemical Sensors

Data-Driven Virtual Sensing for Electrochemical Sensors

In recent years, the application of machine learning for virtual sensing has revolutionized the monitoring and management of information. In particular, electrochemical sensors generate large amounts of data, allowing the application of complex machine learning/AI models able to (1) reproduce the me...

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Bibliographic Details
Main Authors: Lucia Sangiorgi, Veronica Sberveglieri, Claudio Carnevale, Sabrina De Nardi, Estefanía Nunez-Carmona, Sara Raccagni
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
virtual sensing
electrochemical sensors
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/5/1396

Internet

https://www.mdpi.com/1424-8220/24/5/1396

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