Statistical Study of Sensor Data and Investigation of ML-Based Calibration Algorithms for Inexpensive Sensor Modules: Experiments From Cape Point-Reference-Cited by-同舟云学术

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Statistical Study of Sensor Data and Investigation of ML-Based Calibration Algorithms for Inexpensive Sensor Modules: Experiments From Cape Point

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Barrett Travis¹^ORCID,Mishra Amit Kumar²^ORCID

Affiliation:

1. Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa

2. University West, Trollhättan, Sweden

Funder

Centre for 5G for Sustainable Development funded by Sentech Soc Ltd., Johannesburg, South Africa

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10456922.pdf?arnumber=10456922

Reference21 articles.

1. Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point

2. The Internet of Things (IoT): Applications, investments, and challenges for enterprises

3. Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi

4. Toward Massive Scale Air Quality Monitoring

5. End-user perspective of low-cost sensors for outdoor air pollution monitoring

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