@article{2857ecf2977940d3af637842bdbb94e0,
title = "The Application of Mobile Sensing to Detect CO and NO2 Emission Spikes in Polluted Cities",
keywords = "Air pollution, Co, IoT, NO2 emissions, Data models, Geospatial data, Low-cost sensors, Machine leaning calibration, Mobile sensing, Points of interests, Random forest regression, 113 Computer and information sciences, 1171 Geosciences, 1172 Environmental sciences",
author = "Spanddhana Sara and Andrew Rebeiro-Hargrave and Ayu Parmar and Fung, {Pak Lun} and Ishan Patwardhan and Samu Varjonen and Reddy, {C. Rajashekar} and Sachin Chaudhari and Sasu Tarkoma",
year = "2023",
doi = "10.1109/ACCESS.2023.3297874",
language = "English",
volume = "11",
pages = "79624--79635",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}