Evaluation metrics help us to determine the quality of an ML model. We classify them in two groups. On the one hand, range-dependent metrics compare different models that must be applied to the same dataset. On the other hand, percentage metrics compare models independently of the dataset used...
This study utilizes air quality data from January 1, 2014, to January 31, 2021, collected at daily intervals in Shanghai City, China, as the experimental dataset. The dataset includes daily AQI measurements, along with six pollutant concentrations: particulate matter (PM2.5 and PM10), sulfur ...
In total, we sampled the dataset and trained the model 100 times and the final test performance was summarized. Graph convolutions As the core component in our method, multilevel graph convolutions were used to encode and represent local spread of air pollutants. Based on Eqs. 1–3 and ...
Example NowCast Dataset for PM10: (have some missing data in hour) HourAvg Concentration 1464 ppb 1363 ppb 12--- 1177 ppb 1065 ppb 9--- 870 ppb 771 ppb 6--- 557 ppb 458 ppb 364 ppb Presume that you want to calculate NowCast AQI for PM10 at14, the data array should be double...
Assessment of PM2.5deposition in the human respiratory tract from a hyperlocal dataset in Bhubaneshwar, India Sneha Mahalingam Babu Priyadharshini Monalin Mishra OriginalPaper06 May 2025 Evaluation and calibration of MERRA-2 and CAMS reanalysis for PM2.5in a semi-urbanized area in the south of the...
In this example, a multilayer perceptron-based data imputation model is employed to simulate the missing air quality data at the monitoring station based on the air quality data of the neighboring stations. The dataset used in this study were downloaded from the air quality database of Hong ...
To this aim, the Beijing Air Quality Dataset is employed for experimentation, comprising multivariate hourly time series data spanning five years. The findings in this research demonstrate the superior predictive capabilities of the Transformer model when forecasting up to 4 hours ahead. Subsequently, ...
The global PM2.5 dataset can inform on total particle concentration, but not on acidity. Population data To estimate the location of people, we use the WorldPop Global High-Resolution Population dataset, produced by the University of Southampton, the World Bank, and other partners, which offers ...
Gis-based approach to spatio-temporal interpolation of atmospheric co<inf>2</inf> concentrations in limited monitoring dataset 2021, Atmosphere Investigation of the impacts of urban vegetation loss on the ecosystem service of air pollution mitigation in Karaj metropolis, Iran 2020, Environmental Monitorin...
The AQI dataset is collected from 12 observing stations around Beijing from year 2013 to 2017. The data is accessible at The University of California, Irvine (UCI) Machine Learning Repository.