The main challenge of the health risk assessment of the aerosol transport and deposition to the lower airways is the high computational cost. A standard large-scale airway model needs a week to a month of computational time in a high-performance computing system. Therefore, developing an innovative tool that accurately predicts transport behaviour and reduces computational time is essential. This study aims to develop a novel and innovative machine learning (ML) model to predict particle deposition to the lower airways. The first-ever study uses ML techniques to explore the pulmonary aerosol TD in a digital 17-generation airway model. The ML model uses the computational data for a 17-generation airway model and four standard ML regression m...
Particulate matter with a diameter less than 10 micrometers (PM10) is today an important subject of ...
Many countries are concerned about high particulate matter (PM) concentrations caused by rapid indus...
Numerical models of chemical transport have been used to simulate the complex processes involved in ...
The main challenge of the health risk assessment of the aerosol transport and deposition to the lowe...
Large-scale data sources, remote sensing technologies, and superior computing power have tremendousl...
An atmospheric particular matter, commonly recognized as PM, contains solid particles and liquid dro...
Combating air pollution has proven to be a difficult task for countries with rapidly developing econ...
© 2017 Elsevier Ltd The major problem in understanding the therapeutically targeted drug delivery sy...
An area identified as having a high priority by the National Research Council (NRC 1998) relating to...
Current studies show that traditional deterministic models tend to struggle to capture the non-linea...
Machine learning (ML) plays an important role in atmospheric environment prediction, having been wid...
The regulation of air pollutant levels is rapidly becoming one of the most important tasks for the g...
Introduction Pollution of air in urban cities across the world has been steadily increasing in rece...
Current studies show that traditional deterministic models tend to struggle to capture the non-linea...
Targeted drug delivery is an advanced method discussed in the literature for optimized treatment of ...
Particulate matter with a diameter less than 10 micrometers (PM10) is today an important subject of ...
Many countries are concerned about high particulate matter (PM) concentrations caused by rapid indus...
Numerical models of chemical transport have been used to simulate the complex processes involved in ...
The main challenge of the health risk assessment of the aerosol transport and deposition to the lowe...
Large-scale data sources, remote sensing technologies, and superior computing power have tremendousl...
An atmospheric particular matter, commonly recognized as PM, contains solid particles and liquid dro...
Combating air pollution has proven to be a difficult task for countries with rapidly developing econ...
© 2017 Elsevier Ltd The major problem in understanding the therapeutically targeted drug delivery sy...
An area identified as having a high priority by the National Research Council (NRC 1998) relating to...
Current studies show that traditional deterministic models tend to struggle to capture the non-linea...
Machine learning (ML) plays an important role in atmospheric environment prediction, having been wid...
The regulation of air pollutant levels is rapidly becoming one of the most important tasks for the g...
Introduction Pollution of air in urban cities across the world has been steadily increasing in rece...
Current studies show that traditional deterministic models tend to struggle to capture the non-linea...
Targeted drug delivery is an advanced method discussed in the literature for optimized treatment of ...
Particulate matter with a diameter less than 10 micrometers (PM10) is today an important subject of ...
Many countries are concerned about high particulate matter (PM) concentrations caused by rapid indus...
Numerical models of chemical transport have been used to simulate the complex processes involved in ...