Open Access
| Issue |
E3S Web Conf.
Volume 702, 2026
Second International Conference on Innovations in Sustainable and Digital Construction Practices (ISDCP 2026)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 11 | |
| Section | Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202670202008 | |
| Published online | 01 April 2026 | |
- R. Kaur and P. Pandey, Air Pollution, Climate Change, and Human Health in Indian Cities: A Brief Review. Frontiers in Sustainable Cities 3:705131 (2021). https://doi.org/10.3389/FRSC.2021.705131 [Google Scholar]
- S.J. Pai, T.S. Carter, C.L. Heald, and J.H. Kroll, Updated World Health Organization Air Quality Guidelines Highlight the Importance of Non-anthropogenic PM2.5. Environ Sci Technol Lett 9:501–506 (2022). https://pubs.acs.org/doi/10.1021/acs.estlett.2c00203 [Google Scholar]
- E. Elabd, H.M. Hamouda, M.A.M. Ali, A.S. Hamid, and Y. Fouad, Air quality index AQI classification based on hybrid particle swarm and grey wolf optimization with ensemble machine learning model. Sci Rep 16, 4152 (2026). https://doi.org/10.1038/s41598-025-34278-8 [Google Scholar]
- S.A. Meo, M.A. Salih, J.M. Alkhalifah, A.H. Alsomali, and A.A. Almushawah, Pak, Effect of Air Pollutants Particulate Matter PM2.5, PM10, Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), and Ozone (O3) on Fractional Exhaled Nitric Oxide (FeNO). Pak J Med Sci 40:1719 (2024). https://doi.org/10.12669/PJMS.4089630 [Google Scholar]
- D.C. Joshi, P. Negi, S. Devi, H. Lohani, R. Kumar, M. Gupta, and L.C. Ming, Fine particulate matter (PM2.5, PM10): A silent catalyst for chronic lung diseases in India; a comprehensive review. Environmental Challenges 20:101215 (2025). https://doi.Org/10.1016/J.ENVC.2025.101215 [Google Scholar]
- S.S. Taha, S. Idoudi, N. Alhamdan, R.H. Ibrahim, R. Surkatti, A. Amhamed, and O.F. Alrebei, Comprehensive review of health impacts of the exposure to nitrogen oxides (NOx), carbon dioxide (CO2), and particulate matter (PM). Journal of Hazardous Materials Advances 19:100771 (2025). https://doi.org/10.1016/J.HAZADV.2025.100771 [Google Scholar]
- M. Aria, C. Cuccurullo, and A. Gnasso, A comparison among interpretative proposals for Random Forests. Machine Learning with Applications 6:100094 (2021). https://doi.org/10.1016/J.MLWA.2021.100094 [Google Scholar]
- H.N. Noura, Z. Allal, O. Salman, and K. Chahine, An optimized tree-based model with feature selection for efficient fault detection and diagnosis in diesel engine systems. Results in Engineering 27:106619 (2025). https://doi.org/10.1016/J.RINENG.2025.106619 [Google Scholar]
- O.A. Montesinos Lopez, A. Montesinos Lopez, and J. Crossa, Support Vector Machines and Support Vector Regression. Multivariate Statistical Machine Learning Methods for Genomic Prediction Springer, Cham. 337–378 (2022). https://doi.org/10.1007/978-3-030-89010-0_9 [Google Scholar]
- P.K. Dongre, V. Patel, U. Bhoi, and N.N. Maltare, An outlier detection framework for Air Quality Index prediction using linear and ensemble models. Decision Analytics Journal 14:100546 (2025). https://doi.org/10.1016/J.DAJOUR.2025.100546 [Google Scholar]
- E. Tsekeri, A. Lilli, M. Lazaridis, and D. Kolokotsa, Air pollution in the urban built environment: A comprehensive evaluation. Atmos Pollut Res 17:102797 (2026). https://doi.org/10.1016/J.APR.2025.102797 [Google Scholar]
- R. Wang, K. Cui, H.L. Sheu, L.C. Wang, and X. Liu, Effects of Precipitation on the Air Quality Index, PM2.5 Levels and on the Dry Deposition of PCDD/Fs in the Ambient Air. Aerosol Air Qual Res 23:220417 (2023). https://doi.org/10.4209/AAQR.220417 [Google Scholar]
- H.N. Sowmya, B.S. Surendra, A. Arjunasamy, E.K. Reshma, M. Bhaskar, K.S. Kavitha, G.P. Shivashankara, and H.K. Ramaraju, Impact of meteorological factors and ventilation coefficient on diurnal and seasonal variations of tropospheric ozone in Bangalore. Research in Cold and Arid Regions 17:329–338 (2025). https://doi.org/10.1016/J.RCAR.2025.03.007 [Google Scholar]
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