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m fo d |
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cr cn#---anuuu |
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170824s2017 nz a fobm 000 0 eng d |
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|a CU
|b eng
|e rda
|c CU
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|3 Bib#:
|a 2498648
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|a Bun, Boney,
|e author.
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|a Calibration using supervised learning for low-cost air quality sensors :
|b a thesis submitted in partial fulfilment of the requirements for the degree of Master of Science in Computer Science in the University of Canterbury /
|c by Boney Bun ; supervisor: Associate Professor Dr. Andreas Willig, co-supervisor: Dr. Malcolm Campbell.
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| 264 |
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|c 2017.
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|a 1 online resource (x, 174 pages) :
|b illustrations (some colour)
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|a text
|2 rdacontent
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|a computer
|2 rdamedia
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|a online resource
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Thesis (M. Sc.)--University of Canterbury, 2017.
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|a Includes bibliographical references.
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| 650 |
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|a Air quality
|x Measurement.
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| 650 |
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|a Air
|x Pollution
|x Measurement
|x Computer programs.
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| 650 |
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|a Air
|x Pollution
|x Measurement
|x Mathematical models.
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| 650 |
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|a Supervised learning (Machine learning)
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| 650 |
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|a Neural networks (Computer science)
|x Data processing.
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| 650 |
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|a Detectors
|x Calibration.
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| 856 |
4 |
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|u http://hdl.handle.net/10092/13779
|y Connect to electronic resource
|t 0
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| 991 |
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|a 2017-08-08
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| 992 |
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|a Created by fiwi, 08/08/2017. Updated by alwh1, 10/01/2022.
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|i 286c6fa0-c519-5f3a-8198-0c6d2f596c07
|s 8a860d0e-cfb1-5dc0-9de3-371ef9761927
|t 0
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