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• W4384703526 abstract "Virtual sensors are pivotal to provide measures that would be extremely hard to make through the use of traditional hard sensors. This paper discusses an artificial intelligence-based approach for measuring temperature of the material being processed in a high-temperature microwave kiln. Preliminary results are reported for calcined clays, with temperature values up to approximately 500 °C. The results show that material temperature can be effectively predicted by the virtual sensor (average mean absolute error: 2.4 °C). The very same approach is currently being developed for other types of materials being processed through microwave-heating, such as ceramic pigments and iron bearing residues." @default.
• W4384703526 created "2023-07-20" @default.
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• W4384703526 date "2023-06-06" @default.
• W4384703526 modified "2023-09-27" @default.
• W4384703526 title "Measuring material temperature in high-temperature microwave-based heating process: a virtual sensor approach" @default.
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• W4384703526 doi "https://doi.org/10.1109/metroind4.0iot57462.2023.10180171" @default.
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