Comparative assessment of modified deconvolution and neuro-fuzzy technique for force prediction using an accelerometer balance system (English)
- New search for: Deka, Sushmita
- New search for: Pallekonda, Ramesh Babu
- New search for: Rahang, Maneswar
- New search for: Deka, Sushmita
- New search for: Pallekonda, Ramesh Babu
- New search for: Rahang, Maneswar
In:
Measurement: Journal of the International Measurement Confederation
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171
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2020
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Comparative assessment of modified deconvolution and neuro-fuzzy technique for force prediction using an accelerometer balance system
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Contributors:
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Published in:
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Publisher:
- New search for: Elsevier Ltd
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Publication date:2020-11-21
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 171
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Modeling and experimental verification of an ionized gas barometerStewart, Matthew C. / Jones, John D. / Leung, Albert M. et al. | 2020
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Transient feature identification from internal encoder signal for fault detection of planetary gearboxes under variable speed conditionsWang, Baoxiang / Ding, Chuancang et al. | 2020
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The performance assessment of Precise Point Positioning (PPP) under various observation conditionsBulbul, Sercan / Bilgen, Burhaneddin / Inal, Cevat et al. | 2020
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Comparative assessment of modified deconvolution and neuro-fuzzy technique for force prediction using an accelerometer balance systemDeka, Sushmita / Pallekonda, Ramesh Babu / Rahang, Maneswar et al. | 2020
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