رسالة جامعية
Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components
| العنوان: | Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components |
|---|---|
| المؤلفون: | Iskandaryan, Ditsuhi |
| المساهمون: | University/Department: Universitat Jaume I. Escola de Doctorat |
| مرشدي الرسالة: | Ramos Romero, Jose Francisco, Trilles, Sergio, Huerta Guijarro, Joaquín |
| المصدر: | TDX (Tesis Doctorals en Xarxa) |
| بيانات النشر: | Universitat Jaume I, 2023. |
| سنة النشر: | 2023 |
| وصف مادي: | 197 p. |
| مصطلحات موضوعية: | Air quality prediction, Machine learning, Spatiotemporal prediction, Feature selection, Outlier detection, Ciències |
| الوصف: | Doctorat internacional |
| الوصف (مترجم): | Air quality is considered one of the top concerns. Information and knowledge about air quality can assist in effectively monitoring and controlling concentrations, reducing or preventing its harmful impacts and consequences. The complexity of air quality dependence on various components in spatiotemporal dimensions creates additional challenges to acquire this information. The current dissertation proposes machine learning and deep learning technologies that are capable of capturing and processing multidimensional information and complex dependencies controlling air quality. The following components come together to formulate the novelty of the current work: spatiotemporal forecast of the defined prediction target (nitrogen dioxide); incorporation and integration of air quality, meteorological and traffic data with their features/variables in spatiotemporal dimensions within a certain spatial extent and temporal interval; the consideration of coronavirus disease 2019 as an external key factor impacting air quality level; and provision of the code and data implemented to incentivise and guarantee reproducibility. Programa de Doctorat en Informàtica |
| نوع الوثيقة: | Dissertation/Thesis |
| وصف الملف: | application/pdf |
| اللغة: | English |
| DOI: | 10.6035/14101.2023.726676 |
| URL الوصول: | http://hdl.handle.net/10803/687959 |
| حقوق: | L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-sa/4.0/ |
| رقم الأكسشن: | edstdx.10803.687959 |
| قاعدة البيانات: | TDX |
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