Intelligent Air Pollution Sensors Calibration for Extreme Events and Drifts Monitoring-Reference-Cited by-同舟云学术

Intelligent Air Pollution Sensors Calibration for Extreme Events and Drifts Monitoring

Published:2023-02 Issue:2 Volume:19 Page:1366-1379
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Zaidan Martha Arbayani¹^ORCID,Motlagh Naser Hossein²^ORCID,Fung Pak Lun³^ORCID,Khalaf Abedalaziz S.⁴^ORCID,Matsumi Yutaka⁵^ORCID,Ding Aijun¹^ORCID,Tarkoma Sasu²^ORCID,Petaja Tuukka¹^ORCID,Kulmala Markku¹^ORCID,Hussein Tareq³^ORCID

Affiliation:

1. Joint International Research Laboratory of Atmospheric and Earth System Sciences, Nanjing University, Nanjing, China

2. Department of Computer Science, University of Helsinki, Helsinki, Finland

3. Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Helsinki, Finland

4. Department of Physics, School of Science, University of Jordan, Amman, Jordan

5. Institute for Space-Earth Environmental Research (ISEE), Nagoya University, Nagoya, Japan

Funder

MegaSense and Nokia Center for Advanced Research

Deanship of Scientific Research

University of Jordan

Scientific Research Support Fund

Jordanian Ministry of Higher Education

Academy of Finland Center of Excellence

Atmosphere and Climate Competence Center

Healthy Outdoor Premises for Everyone project

Academy of Finland

Teknologiateollisuuden 100-Vuotisjuhlasäätiö

Urban Air Quality 2.0 Project

Eastern Mediterranean and Middle East--Climate and Atmosphere Research

European Union's Horizon 2020 Research and Innovation Programme

Government of Cyprus

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9989328/09714165.pdf?arnumber=9714165

Reference31 articles.

1. Atmospheric corrosion of metals in industrial city environment

2. The Gas Leak Detection Based on a Wireless Monitoring System

3. Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments

4. A Survey on Sensor Calibration in Air Pollution Monitoring Deployments

5. On the robustness of field calibration for smart air quality monitors;vito;Sensors Actuators B Chem,2020

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