This paper explores the integration and advancements of artificial neural networks (ANNs) in
modeling diesel engine performance, particularly focusing on biodiesel-fueled engines …

Air pollution is one of the main environmental health concerns globally, with particulate
matter (PM) as the primary threat. While many policies address emissions from transport and …

The air in the Lombardy Plain, Italy, is one of the most polluted in Europe due to limited
atmosphere circulation and high emission levels. There is broad scientific consensus that …

Abstract VERT (Vehicular Emissions from Road Traffic) is an R package developed to
estimate traffic emissions of a wide range of pollutants and greenhouse gases based on …

Taiwan experiences higher air pollution in winter when fine particulate matter (PM 2.5)
levels frequently surpass national standards. This study employs the Community Multiscale …

Light-absorbing aerosols (LAAs) are short-lived climate forcers with a significant impact on
Earth's radiative balance. LAAs include dust aerosols, black carbon (BC) and organic light …

Understanding black carbon (BC) levels and its sources in urban environments is of
paramount importance due to the far-reaching health, climate, and air quality implications …

This paper presents a novel machine learning methodology able to extend the results of
detailed local emission inventories to larger domains where emission estimates are not …

This paper describes an innovative method that recursively applies the machine learning
Random Forest to an assumed homogeneous aerographic domain around measurement …

This study presents an evaluation of the CHIMBO modeling chain applied to the Italian
domain, specifically focusing on the Po Valley subdomain over the one-year period of 2019 …