Air pollution forecasting based on wireless communications
The development of contemporary artificial intelligence (AI) methods such as artificial neural
networks (ANNs) has given researchers around the world new opportunities to address …
networks (ANNs) has given researchers around the world new opportunities to address …
Applications of artificial intelligence in the field of air pollution: A bibliometric analysis
Background Artificial intelligence (AI) has become widely used in a variety of fields,
including disease prediction, environmental monitoring, and pollutant prediction. In recent …
including disease prediction, environmental monitoring, and pollutant prediction. In recent …
A study on the performance of low-cost sensors for source apportionment at an urban background site
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 …
Until recently, source apportion analyses were limited and only possible with the use of …
Distributed optical fiber sensor temperature dynamic correction method based on building fire temperature-time curve
G Liu, H Meng, G Qu, L Wang, L Ren, L Fang - Journal of Building …, 2023 - Elsevier
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 …
conducted the temperature rise experiments of common single-mode and multi-mode fiber …
Prediction of residual stress, surface roughness, and grain refinement of 42CrMo steel subjected to shot peening by combining finite element method and artificial …
H Huang, S Wang, C Wang, K Li, Y Zhou… - The International Journal …, 2023 - Springer
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 …
order to investigate the effects of the shot velocity and the SP coverage on the surface …
Low-cost thermohygrometers to assess thermal comfort in the built environment: A laboratory evaluation of their measurement performance
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 …
temperature, which are two of the fundamental parameters to estimate human thermal …
Data-driven machine learning calibration propagation in a hybrid sensor network for air quality monitoring
I Vajs, D Drajic, Z Cica - Sensors, 2023 - mdpi.com
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 …
reliable and accurate but require significant maintenance and cannot be used to form a high …
Building low-cost sensing infrastructure for air quality monitoring in urban areas based on fog computing
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 …
limited, many methodologies have been developed in order to integrate low-cost sensors …
Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning
This paper addresses the challenges of calibrating low-cost electrochemical sensor systems
for air quality monitoring. The proliferation of pollutants in the atmosphere necessitates …
for air quality monitoring. The proliferation of pollutants in the atmosphere necessitates …
Long-Term Assessment of a Set of CO2 Concentration Sensors in an In-Use Office Building
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 …
it has been used to assess air quality, with other applications linked to the experimental …