[HTML][HTML] A systematic literature review of low-cost 3D mapping solutions
Abstract In" low-cost" solutions, ensuring economic accessibility and democratizing the
availability of emerging technologies stand as pivotal considerations. This study undertakes …
availability of emerging technologies stand as pivotal considerations. This study undertakes …
Air pollution forecasting based on wireless communications
The development of contemporary artificial intelligence (AI) methods such as artificial neural
networks (ANNs) has given researchers around the world new opportunities to address …
networks (ANNs) has given researchers around the world new opportunities to address …
High-spatiotemporal-resolution PM2. 5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data
KY Wu, IW Hsia, PY Kow, LC Chang… - Journal of Cleaner …, 2023 - Elsevier
High-resolution real-time air quality forecasting can alert decision-makers and residents
about forthcoming air pollution events and refine air quality management. The …
about forthcoming air pollution events and refine air quality management. The …
Eeatc: A novel calibration approach for low-cost sensors
MV Narayana, D Jalihal… - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Low-cost sensors (LCSs) are affordable, compact, and often portable devices designed to
measure various environmental parameters, including air quality. These sensors are …
measure various environmental parameters, including air quality. These sensors are …
Air pollution prediction and backcasting through a combination of mobile monitoring and historical on-road traffic emission inventories
An important challenge for studies of air pollution and health effects is the derivation of
historical exposures. These generally entail some form of backcasting, which refers to a …
historical exposures. These generally entail some form of backcasting, which refers to a …
[HTML][HTML] Long-Term Exposure to Outdoor Ultrafine Particles and Black Carbon and Effects on Mortality in Montreal and Toronto, Canada
BACKGROUND There remain important limitations and challenges when estimating long-
term air pollution exposure for use in epidemiological studies. In 2019, the Health Effects …
term air pollution exposure for use in epidemiological studies. In 2019, the Health Effects …
[HTML][HTML] Performance evaluation of MeteoTracker mobile sensor for outdoor applications
The morphological complexity of urban environments results in a high spatial and temporal
variability of the urban microclimate. The consequent demand for high-resolution …
variability of the urban microclimate. The consequent demand for high-resolution …
Exploring the triple burden of social disadvantage, mobility poverty, and exposure to traffic-related air pollution
Understanding the relationships between ultrafine particle (UFP) exposure, socioeconomic
status (SES), and sustainable transportation accessibility in Toronto, Canada is crucial for …
status (SES), and sustainable transportation accessibility in Toronto, Canada is crucial for …
Design and Implementation of a Low-Cost Air Quality Network for the Aburra Valley Surrounding Mountains
A Yarce Botero, S Lopez Restrepo… - Pollutants, 2023 - mdpi.com
The densest network for measuring air pollutant concentrations in Colombia is in Medellin,
where most sensors are located in the heavily polluted lower parts of the valley. Measuring …
where most sensors are located in the heavily polluted lower parts of the valley. Measuring …
[PDF][PDF] The Nonlinear Effect of the Built Environment on Bike–Metro Transfer in Different Times and Transfer Flows Considering Spatial Dependence
Dockless bike-sharing (DBS) plays a crucial role in solving the “last-mile” problem for metro
trips. However, bike–metro transfer usage varies by time and transfer flows. This study …
trips. However, bike–metro transfer usage varies by time and transfer flows. This study …