IoT enabled environmental toxicology for air pollution monitoring using AI techniques
In past decades, the industrial and technological developments have increased
exponentially and accompanied by non-judicial and un-sustainable utilization of non …
exponentially and accompanied by non-judicial and un-sustainable utilization of non …
A machine learning approach to predict air quality in California
Predicting air quality is a complex task due to the dynamic nature, volatility, and high
variability in time and space of pollutants and particulates. At the same time, being able to …
variability in time and space of pollutants and particulates. At the same time, being able to …
Comparative analysis of machine learning techniques for predicting air quality in smart cities
Dealing with air pollution presents a major environmental challenge in smart city
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
[HTML][HTML] Air pollution, road traffic noise and lack of greenness and risk of type 2 diabetes: a multi-exposure prospective study covering Denmark
Objective Air pollution, road traffic noise and lack of greenness coexist in urban
environments and have all been associated with type 2 diabetes. We aimed to investigate …
environments and have all been associated with type 2 diabetes. We aimed to investigate …
[HTML][HTML] Long-term residential exposure to PM2. 5, PM10, black carbon, NO2, and ozone and mortality in a Danish cohort
Air pollutants such as NO 2 and PM 2.5 have consistently been linked to mortality, but only
few previous studies have addressed associations with long-term exposure to black carbon …
few previous studies have addressed associations with long-term exposure to black carbon …
Concomitant exposure to air pollution, green space, and noise and risk of stroke: a cohort study from Denmark
Background Air pollution, road traffic noise, and green space are correlated factors,
associated with risk of stroke. We investigated their independent relationship with stroke in …
associated with risk of stroke. We investigated their independent relationship with stroke in …
Evaluation of multidecadal high-resolution atmospheric chemistry-transport modelling for exposure assessments in the continental Nordic countries
This study presents a comprehensive evaluation of the combination of the regional scale
chemistry-transport model DEHM (Danish Eulerian Hemispheric Model) and the Gaussian …
chemistry-transport model DEHM (Danish Eulerian Hemispheric Model) and the Gaussian …
Divination of air quality assessment using ensembling machine learning approach
Smart cities must address air pollution as a top environmental concern. Real-time monitoring
of pollution data enables metropolitan authorities to analyze the city's current traffic …
of pollution data enables metropolitan authorities to analyze the city's current traffic …
Development and performance evaluation of new AirGIS–a GIS based air pollution and human exposure modelling system
Abstract AirGIS, a Geographic Information Systems (GIS) based air pollution and human
exposure modelling system, is routinely used in conjunction with the Operational Street …
exposure modelling system, is routinely used in conjunction with the Operational Street …
[HTML][HTML] Long-term exposure to air pollution and risk of SARS-CoV-2 infection and COVID-19 hospitalisation or death: Danish nationwide cohort study
Background Early ecological studies have suggested links between air pollution and risk of
coronavirus disease 2019 (COVID-19), but evidence from individual-level cohort studies is …
coronavirus disease 2019 (COVID-19), but evidence from individual-level cohort studies is …