Calibration using supervised learning for low-cost air quality sensors.
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Summary
Calibration using supervised learning for low-cost air quality sensors. is a master's thesis[1].
Key Facts
- Calibration using supervised learning for low-cost air quality sensors.'s instance of is recorded as master's thesis[2].
- Calibration using supervised learning for low-cost air quality sensors. was published by UC Research Repository[3].
- Calibration using supervised learning for low-cost air quality sensors.'s language of work or name is recorded as English[4].
- Calibration using supervised learning for low-cost air quality sensors.'s country of origin is recorded as New Zealand[5].
- Calibration using supervised learning for low-cost air quality sensors. was released on 2017[6].
- Calibration using supervised learning for low-cost air quality sensors.'s main subject is computer science[7].
- Calibration using supervised learning for low-cost air quality sensors.'s work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/13779[8].
- Calibration using supervised learning for low-cost air quality sensors.'s title is recorded as Calibration using supervised learning for low-cost air quality sensors.[9].
- Calibration using supervised learning for low-cost air quality sensors.'s author name string is recorded as Boney Bun[10].
- Calibration using supervised learning for low-cost air quality sensors.'s thesis submitted to is recorded as University of Canterbury[11].
- Calibration using supervised learning for low-cost air quality sensors.'s on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Calibration using supervised learning for low-cost air quality sensors.'s copyright status is recorded as copyrighted[13].
- Calibration using supervised learning for low-cost air quality sensors.'s online access status is recorded as open access[14].
- Calibration using supervised learning for low-cost air quality sensors.'s thesis committee member is recorded as Andreas Willig[15].
- Calibration using supervised learning for low-cost air quality sensors.'s thesis submitted for degree is recorded as Master of Science[16].
Body
Designation and Status
Calibration using supervised learning for low-cost air quality sensors.'s instance of is recorded as master's thesis[2].