Use Visual Features From Surrounding Scenes to Improve Personal Air Quality Data Prediction Performance

The need to know the personal air pollution data is vital because it is better to provide each individual with regional air quality data, which seems to be more accurate than the

Our proposed process contains two steps: data preprocessing and then training a voting regressor to predict Personal Air Quality Prediction with public/open data. Since

Table 8 presents the comparison of daily CAQI forecasting performance via LR models at the station of Agia Sofia, by using lagged observed numerical values and by

If the subspace method reaches the exact solution and the assumption is still violated, we avoid such assumption by minimizing the cubic model using the ` 2 -norm until a

Comparison of ARAT aircraft measurements of ozone with simulated (dashed black line) and analyzed values (solid black line; produced using ASI method) of ozone concentrations at

Based on measured concentrations in schools where acute symptoms possibly due to exposure to airborne sensory irritants were reported, an index quantifying the sensory

As we focus on the efficiency of emission reduction abatements on air quality in cities and wish to distinguish the contributions of emission sources ac- cording to the duration

No significant differences in the 2D protein patterns were observed between non- exposed (fig 1a), air-exposed and NO 2 and/or SO 2 -exposed pollen extracts (data