Clustering is an explorative data analysis technique used for investigating the underlying
structure in the data. It described as the grou** of objects, where the objects share similar …

This paper provides a comprehensive overview of the actual knowledge on the atmospheric
pollution sources, transport, transformation and levels in the East Mediterranean. It focuses …

Recent advances in particle sensor technologies have led to an increased development and
utilization of low-cost, compact, particulate matter (PM) monitors. These devices can be …

IoT-enabled sensor devices and machine learning methods have played an essential role in
monitoring and forecasting mine hazards. In this paper, a prediction model has been …

Air pollution has become a top environmental concern in China. In the present study, 9 years
of PM 10 and PM 2.5 data from an urban monitoring station in Bei**g was analyzed relative …

The present study investigates persistent inversions dynamics during a whole winter in
Alpine valleys of the area of Grenoble (French Alps), and their relationship to PM 10 air …

Abstract Metropolitan Urban areas in Greece have been known to suffer from poor air
quality, due to variety of emission sources, topography and climatic conditions favouring the …

The mass concentrations and chemical compositions (elements, water-soluble ions and
carbonaceous species) of PM2. 5 aerosol were detected in the urban area of Fuzhou city …

Photovoltaic (PV) applications, gaining worldwide interest during the last years, comprise a
promising renewable energy based solution, able to considerably contribute to the …

The scope of the present study is to assess the influence of meteorology on different
diameter particles (PM10, PM2. 5, PM2. 5–10) during a 53months long experimental …