Crowd-sourced air quality studies: A review of the literature & portable sensors

JE Thompson - Trends in Environmental Analytical Chemistry, 2016 - Elsevier
Abstract Development of low-cost, portable, and low-power devices for monitoring airborne
pollutants is a crucial step towards developing improved air quality models and better …

Crowdsourcing Public Engagement for Urban Planning in the Global South: Methods, Challenges and Suggestions for Future Research

EB Diop, J Chenal, SCK Tekouabou, R Azmi - Sustainability, 2022 - mdpi.com
Crowdsourcing could potentially have great benefits for the development of sustainable
cities in the Global South (GS), where a growing population and rapid urbanization …

Intelligent calibration and virtual sensing for integrated low-cost air quality sensors

MA Zaidan, NH Motlagh, PL Fung, D Lu… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
This paper presents the development of air quality low-cost sensors (LCS) with improved
accuracy features. The LCS features integrate machine learning based calibration models …

Urban healthcare big data system based on crowdsourced and cloud-based air quality indicators

M Chen, J Yang, L Hu, MS Hossain… - IEEE …, 2018 - ieeexplore.ieee.org
The ever accelerating process of globalization enables more than half the population to live
in cities. Thus, the air quality in cities exerts critical influence on the health status of more …

Low cost sensor with IoT LoRaWAN connectivity and machine learning-based calibration for air pollution monitoring

S Ali, T Glass, B Parr, J Potgieter… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Air pollution poses significant risk to environment and health. Air quality monitoring stations
are often confined to a small number of locations due to the high cost of the monitoring …

Regional air quality forecasting using spatiotemporal deep learning

S Abirami, P Chitra - Journal of Cleaner Production, 2021 - Elsevier
Accelerated urbanization and industrialization have led to poor air quality, which threatens
human health with various lung ailments. Monitoring, modeling, and forecasting air quality …

IoT based urban climate monitoring using Raspberry Pi

R Shete, S Agrawal - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Internet of Things is the web of physical objects that contain the embedded technology
which is helping to develop man to machine or machine to machine communication. This …

HazeEst: Machine learning based metropolitan air pollution estimation from fixed and mobile sensors

K Hu, A Rahman, H Bhrugubanda… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
Metropolitan air pollution is a growing concern in both developing and developed countries.
Fixed-station monitors, typically operated by governments, offer accurate but sparse data …

Incentive scheme for cyber physical social systems based on user behaviors

Z Su, Q Qi, Q Xu, S Guo, X Wang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Cyber-physical social system (CPSS) has emerged as a new paradigm to help social users
share and exchange data by the close association with the cyberspace and physical world …

A development on air pollution detection sensors based on NB-IoT network for smart cities

S Duangsuwan, A Takarn… - 2018 18th …, 2018 - ieeexplore.ieee.org
Currently, air pollution is a big problem for people health in cities that suffered from the more
factors such as the traffic, industrial, or forest fire or polluted skies. This paper presents a …