Special Issue on Air Quality Prediction Based on Machine Learning Algorithms
Source abstract
Abstract
Atmospheric pollution is one of the major causes of premature mortality and climate change, as nearly all urban areas fail to comply with the air quality guidelines of the World Health Organization (WHO) [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Air Quality Monitoring and Forecasting · Air Quality and Health Impacts · Vehicle emissions and performance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Information and Engineering, Dalarna University, 791 88 Falun, Sweden
Grupo de Biodiversidad Medio Ambiente y Salud (BIOMAS), Universidad de Las Américas UDLA, Quito 170124, Ecuador
References (5)
Show source-provided references
1. Zainab, I., Ali, Z., Ahmad, U., Raza, S.T., Ahmad, R., Zona, Z., and Sidra, S. (2022). Air Contaminants and Atmospheric Black Carbon Association with White Sky Albedo at Hindukush Karakorum and Himalaya Glaciers. Appl. Sci., 12.10.3390/app12030962 ↗
2. Zaman, N.A.F.K., Kanniah, K.D., Kaskaoutis, D.G., and Latif, M.T. (2021). Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia. Appl. Sci., 11.10.3390/app11167326 ↗
3. Peralta, B., Sepúlveda, T., Nicolis, O., and Caro, L. (2022). Space-Time Prediction of PM2.5 Concentrations in Santiago de Chile Using LSTM Networks. Appl. Sci., 12.10.3390/app122211317 ↗
4. Zalakeviciute, R., Rybarczyk, Y., Alexandrino, K., Bonilla-Bedoya, S., Mejia, D., Bastidas, M., and Diaz, V. (2021). Gradient Boosting Machine to Assess the Public Protest Impact on Urban Air Quality. Appl. Sci., 11.10.1038/s41598-021-96868-6 ↗
5. Vaišis, V., Chlebnikovas, A., and Jasevičius, R. (2023). Numerical Study of the Flow of Pollutants during Air Purification, Taking into Account the Use of Eco-Friendly Material for the Filter—Mycelium. Appl. Sci., 13.10.3390/app13031703 ↗