The development of contemporary artificial intelligence (AI) methods such as artificial neural
networks (ANNs) has given researchers around the world new opportunities to address …

Background Artificial intelligence (AI) has become widely used in a variety of fields,
including disease prediction, environmental monitoring, and pollutant prediction. In recent …

Knowledge of air pollution sources is important in policymaking and air pollution mitigation.
Until recently, source apportion analyses were limited and only possible with the use of …

To enhance the applicability of standard fiber sensors in building fire scenarios, this study
conducted the temperature rise experiments of common single-mode and multi-mode fiber …

Shot peening (SP) is a widely used surface treatment technology of metallic materials. In
order to investigate the effects of the shot velocity and the SP coverage on the surface …

A thermohygrometer is an instrument that is able to measure relative humidity and air
temperature, which are two of the fundamental parameters to estimate human thermal …

Because the number of air quality measurement stations governed by a public authority is
limited, many methodologies have been developed in order to integrate low-cost sensors …

Public air quality monitoring relies on expensive monitoring stations which are highly
reliable and accurate but require significant maintenance and cannot be used to form a high …

This paper addresses the challenges of calibrating low-cost electrochemical sensor systems
for air quality monitoring. The proliferation of pollutants in the atmosphere necessitates …

The measurement of the CO2 concentration has a wide range of applications. Traditionally,
it has been used to assess air quality, with other applications linked to the experimental …