Measurement Science and Metrology
Scope
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E |
Measurement Foundations |
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|
E.1 |
Modelling and simulation of measurement processes |
E.4 |
Evaluation of measurement uncertainty |
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E.2 |
Signal processing, data analysis and information fusion |
E.5 |
Measurement and evaluation of nonquantitative properties |
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E.3 |
Dynamic quantities and state estimation |
E.6 |
Revised SI and its opportunities |
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F |
Metrology in the digital age |
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F.1 |
Novel traceability schemes |
F.4 |
New regulations and standards |
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F.2 |
Future metrological infrastructure |
F.5 |
Risk analysis in metrology and conformity assessment |
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F.3 |
Technology and knowledge transfer |
F.6 |
Accreditations and proof of competence |
|
G |
Networked and IoT-related measurement systems |
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G.1 |
Sensor networks: modelling, calibration, synchronization |
G.3 |
Autonomous measurement systems |
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G.2 |
Smart sensors, self-X strategies |
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|
H |
Advanced measurement approaches |
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H.1 |
Quantum-based measurements, one-step-traceability solutions |
H.3 |
Virtual systems and digital twins |
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H.2 |
Numerical simulation approaches |
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|
I |
AI approaches in measurement science |
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|
I.1 |
Data-driven modelling approaches |
I.3 |
Quality assessment of data-driven and cognitive systems |
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I.2 |
Measurement systems with cognitive features |
I.4 |
Explainable AI in measurement systems |
|
X |
Applications |
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|
X.1 |
Industrial process technology |
X.7 |
Mobility |
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X.2 |
Industrial manufacturing technology |
X.8 |
Safety and security |
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X.3 |
Consumer electronics, white goods |
X.9 |
Health |
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X.4 |
Robotics |
X.10 |
Smart living, smart homes |
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X.5 |
Energy technology |
X.11 |
IoT |
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X.6 |
Environmental monitoring, climate change |
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