has been cited by the following article(s):
[1]
|
SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities
Frontiers in Environmental Science,
2022
DOI:10.3389/fenvs.2022.785129
|
|
|
[2]
|
Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Urban Climate,
2021
DOI:10.1016/j.uclim.2021.100972
|
|
|
[3]
|
Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Urban Climate,
2021
DOI:10.1016/j.uclim.2021.100972
|
|
|
[4]
|
Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Urban Climate,
2021
DOI:10.1016/j.uclim.2021.100972
|
|
|
[5]
|
New Technologies, Development and Application III
Lecture Notes in Networks and Systems,
2020
DOI:10.1007/978-3-030-46817-0_68
|
|
|
[6]
|
Performance Assessment of a Low-Cost PM2.5 Sensor for a near Four-Month Period in Oslo, Norway
Atmosphere,
2019
DOI:10.3390/atmos10020041
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