AIMC Topic: Aerosols

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Forecasting of bioaerosol concentration by a Back Propagation neural network model.

The Science of the total environment Sep 5, 2019
Bioaerosol in the atmosphere plays a very important role in environment and public health. To forecast the bioaerosol concentration, the correlation between bioaerosol concentration and meteorological factors was discussed, and a Back Propagation (BP...
Air Pollution Aerosols Atmosphere Neural Networks, Computer Environmental Monitoring Meteorological Concepts
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Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning.

PloS one Jan 31, 2019
BACKGROUND: Exhaled aerosols from lungs have unique patterns, and their variation can be correlated to the underlying lung structure and associated abnormities. However, it is challenging to characterize such aerosol patterns and differentiate their ...
Humans Lung Diseases, Obstructive Tomography, X-Ray Computed Male Image Processing, Computer-Assisted Middle Aged Machine Learning Support Vector Machine Aerosols Algorithms Principal Component Analysis Breath Tests Prognosis Exhalation
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Machine vision analysis on abnormal respiratory conditions of mice inhaling particles containing cadmium.

Ecotoxicology and environmental safety Dec 18, 2018
Inhalable environmental toxicants can induce pulmonary malfunction resulting abnormal respiratory conditions. The traditional methods currently available to detect the respiratory condition of animals rely on differential pressure transducers and sig...
Respiration Inhalation Exposure Respiratory Function Tests Aerosols Mice, Inbred Strains Particulate Matter Cadmium Video Recording Dose-Response Relationship, Drug Particle Size Air Pollutants Machine Learning Animals Male Occupational Exposure Models, Theoretical Lung Mice
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Spatiotemporal continuous estimates of PM concentrations in China, 2000-2016: A machine learning method with inputs from satellites, chemical transport model, and ground observations.

Environment international Dec 18, 2018
Ambient exposure to fine particulate matter (PM) is known to harm public health in China. Satellite remote sensing measurements of aerosol optical depth (AOD) were statistically associated with in-situ observations after 2013 to predict PM concentrat...
China Environmental Monitoring Models, Statistical Machine Learning Risk Assessment Public Health Satellite Communications Aerosols Air Pollutants Models, Chemical Particulate Matter Humans
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Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM.

Environmental pollution (Barking, Essex : 1987) Aug 11, 2018
Fine particulate matter (PM) has been recognized as a key air pollutant that can influence population health risk, especially during extreme cases such as wildfires. Previous studies have applied geospatial techniques such as land use regression to m...
Machine Learning Algorithms Temperature Environmental Monitoring Air Pollution Particulate Matter Aerosols Particle Size Air Pollutants Remote Sensing Technology
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Development of an Inline Dry Powder Inhaler That Requires Low Air Volume.

Journal of aerosol medicine and pulmonary drug delivery Dec 20, 2017
BACKGROUND: Inline dry powder inhalers (DPIs) are actuated by an external air source and have distinct advantages for delivering aerosols to infants and children, and to individuals with compromised lung function or who require ventilator support. Ho...
Equipment Design Aerosols Dry Powder Inhalers
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Aerosol delivery during spontaneous breathing with different types of nebulizers- in vitro/ex vivo models evaluation.

Pulmonary pharmacology & therapeutics Dec 19, 2017
BACKGROUND: Nebulizers for spontaneous breathing have been evaluated through different study designs. There are limitations in simulated bench models related to patient and nebulizer factors. The aim of this study was to determine the correlation of ...
Drug Delivery Systems Male Equipment Design Models, Biological Aerosols Respiration Bronchodilator Agents Albuterol Administration, Inhalation Inhalation Exhalation Humans Nebulizers and Vaporizers Female Young Adult
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Method for the Determination of Carbonyl Compounds in E-Cigarette Aerosols.

Journal of chromatographic science Oct 7, 2016
Low levels of thermal degradation products such as carbonyls (formaldehyde, acetaldehyde, acrolein, crotonaldehyde) have been reported in e-cigarette aerosols. The collection and analysis of e-cigarette aerosol carbonyls are often adapted from method...
Aldehydes Hot Temperature Electronic Nicotine Delivery Systems Aerosols Models, Theoretical Equipment Design Gas Chromatography-Mass Spectrometry
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Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification.

PloS one Sep 30, 2015
BACKGROUND: Each lung structure exhales a unique pattern of aerosols, which can be used to detect and monitor lung diseases non-invasively. The challenges are accurately interpreting the exhaled aerosol fingerprints and quantitatively correlating the...
Aerosols Breath Tests Asthma Support Vector Machine Lung Diseases Humans Prognosis
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Advancing low-cost air quality monitor calibration with machine learning methods.

Environmental pollution (Barking, Essex : 1987) Jun 1, 2025
Low-cost monitors for measuring airborne contaminants have gained popularity due to their affordability, portability, and ease of use. However, they often exhibit significant biases compared to high-cost reference instruments. For optimal accuracy, t...
Air Pollutants Air Pollution Calibration Aerosols Machine Learning Environmental Monitoring
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