Uncertainty Quantification in AI-Based Measurement Systems

The applications of artificial intelligence (AI) are transforming our world and impacting all aspects of society, economy, life, work, and technology, as well as the field of Instrumentation and Measurement (IM). When accurate mathematical modelling of the measurement system is impossible or when the accuracy of the final measurement is more important than understanding exactly how the system works, AI can offer an attractive and practical solution [1].

Authors

Publication Details

Journal
IEEE Instrumentation & Measurement Magazine
Published
2025-05-01
DOI
https://doi.org/10.1109/mim.2025.10982089
Citations
3
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
3.64
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article

Uncertainty Quantification in AI-Based Measurement Systems

Antonio Moschitta, Emanuele Buchicchio, Francesco Santoni, Alessio De Angelis et al.
3 citations
IEEE Instrumentation & Measurement Magazine
Fault Detection and Control Systems
3.64
article

Uncertainty Quantification in AI-Based Measurement Systems

Antonio Moschitta, Emanuele Buchicchio, Francesco Santoni, Alessio De Angelis, Paolo Carbone
article en
3 citations

Abstract

The applications of artificial intelligence (AI) are transforming our world and impacting all aspects of society, economy, life, work, and technology, as well as the field of Instrumentation and Measurement (IM). When accurate mathematical modelling of the measurement system is impossible or when the accuracy of the final measurement is more important than understanding exactly how the system works, AI can offer an attractive and practical solution [1].

IEEE Instrumentation & Measurement MagazineVol. 28(3)
Openalex Percentile: Top 8%
Fault Detection and Control Systems
3.64
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