Automated, adaptive and uncertainty-aware smart measurements using machine learning

Provider

Ministry of Education, Youth and Sports

Programme

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Call for proposals

EPM Call 2024

Main participants

Český metrologický institut

Contest type

RP - Co-financing of EC programme

Contract ID

-

Project name in Czech

Automated, adaptive and uncertainty-aware smart measurements using machine learning

Annotation in Czech

Multidimensional measurements are often challenged by long acquisition times or limited resolution. This project will develop methods to significantly improve the efficiency of such measurements. The development will combine tools from machine learning, compressed sensing, regularisation, and Bayesian statistics. Several metrological case studies will be treated to demonstrate immediate impact. Long-term impact will be generated through generic, automated, and adaptive measurement plans applicable to a wide range of multidimensional measurement tasks. To further facilitate the uptake of the developed procedures, extensive guidance documents, documented software and reference datasets will be provided.

R&D category

AP - Applied research

OECD FORD - main branch

10103 - Statistics and probability

OECD FORD - secondary branch

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OECD FORD - another secondary branch

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CEP - equivalent branches <br>(according to the <a href="http://www.vyzkum.cz/storage/att/E6EF7938F0E854BAE520AC119FB22E8D/Prevodnik_oboru_Frascati.pdf">converter</a>)

BB - Applied statistics, operational research

Realization period - beginning

May 1, 2025

Realization period - end

Apr 30, 2028

Project status

Z - Beginning multi-year project

Latest support payment

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Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data delivery code

CEP25-MSM-9B-R

Data delivery date

Sep 18, 2025

Total approved costs

4,028 thou. CZK

Public financial support

2,015 thou. CZK

Other public sources

0 thou. CZK

Non public and foreign sources

0 thou. CZK