Utilization of artificial intelligence techniques in predicting air quality index

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dc.contributor.authorBayhan, Kayhan
dc.contributor.authorBaşakın, Eyyüp Ensar
dc.contributor.authorGençoğlu, Sena
dc.contributor.authorEkmekcioğlu, Ömer
dc.contributor.authorPham, Quoc Bao
dc.date.accessioned2025-12-16T09:29:17Z
dc.date.available2025-12-16T09:29:17Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractThe air quality index (AQI) serves as a standardized metric that condenses complex information regarding various air pollutants into a single numerical value to provide a clear understanding of current air quality conditions in a particular region. Given divergent factors affecting the AQI, advanced techniques have recently been proposed by the research community. Hence, this research provides insights regarding the use of one of the emerging approaches, namely data-driven applications reinforced with explainable artificial intelligence, to predict AQI values under various criteria, including pollutant concentrations and meteorological variables. Future research directions, such as integration of deep learning algorithms, meta-heuristic optimization rationale, and spatiotemporal evaluations, for accomplishing holistic analysis using such promising techniques are also provided within this study.
dc.identifier.citationBayhan, K., Başakın, E. E., Gençoğlu, S., Ekmekcioğlu, Ö. ve Pham, Q. B. (2024). Utilization of artificial intelligence techniques in predicting air quality index. Air Pollution, Air Quality, and Climate Change içinde (217-230 s.s.). Elsevier. http://dx.doi.org/10.1016/B978-0-443-23816-1.00003-3
dc.identifier.doi10.1016/B978-0-443-23816-1.00003-3
dc.identifier.endpage230
dc.identifier.isbn9780443238161
dc.identifier.isbn9780443238178
dc.identifier.scopus2-s2.0-85213185518
dc.identifier.startpage217
dc.identifier.urihttp://dx.doi.org/10.1016/B978-0-443-23816-1.00003-3
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13339
dc.indekslendigikaynakScopus
dc.institutionauthorEkmekcioğlu, Ömer
dc.language.isoen
dc.relation.ispartofAir Pollution, Air Quality, and Climate Change
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAir Pollutants
dc.subjectEnvironmental Management
dc.subjectGreenhouse Gases
dc.subjectHumidity
dc.subjectMeteorological Variables
dc.subjectParticulate Matter
dc.titleUtilization of artificial intelligence techniques in predicting air quality index
dc.typeBook Chapter

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