A Review on Analytical Approaches for Ambient Ozone Open Data in Taiwan
Abstract Purpose of Review The air quality in Taiwan is significantly impacted by ambient
ozone (O3) pollution, which poses a challenge in terms of control due to the involvement of …
ozone (O3) pollution, which poses a challenge in terms of control due to the involvement of …
State-of-the-Art Low-Cost Air Quality Sensors, Assemblies, Calibration and Evaluation for Respiration-Associated Diseases: A Systematic Review
Indoor air quality and respiratory health have always been an area of prime interest across
the globe. The significance of low-cost air quality sensing and indoor public health practices …
the globe. The significance of low-cost air quality sensing and indoor public health practices …
Probabilistic classification of the severity classes of unhealthy air pollution events
N Masseran, MAM Safari, RRM Tajuddin - Environmental Monitoring and …, 2024 - Springer
Air pollution events can be categorized as extreme or non-extreme on the basis of their
magnitude of severity. High-risk extreme air pollution events will exert a disastrous effect on …
magnitude of severity. High-risk extreme air pollution events will exert a disastrous effect on …
Morphological classification of fine particles in transmission electron microscopy images by using pre-trained convolution neural networks
Morphological information on fine particles is essential for understanding their transport
behavior in the ambient atmosphere and in the human respiratory system. More than 3000 …
behavior in the ambient atmosphere and in the human respiratory system. More than 3000 …
A Machine Learning Approach for High-Resolution Modeling and Apportionment of Black Carbon Concentrations in an Impacted Community
SD Hamilton, RA Harley - ACS ES&T Air, 2024 - ACS Publications
High spatial resolution is needed in air quality models to resolve near-source gradients in
primary air pollutant concentrations. Models that are used to support analyses of chronic …
primary air pollutant concentrations. Models that are used to support analyses of chronic …