Modelling atmospheric ozone concentration using machine learning algorithms

Air quality monitoring is one of several important tasks carried out in the area of environmental science and engineering. Accordingly, the development of air quality predictive models can be very useful as such models can provide early warnings of pollution levels increasing to unsatisfactory level...

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Bibliographic Details
Main Author: Eman S. Al-Abri
Format: Default Thesis
Published: 2016
Subjects:
Other information and computing sciences not elsewhere classified
Air quality
Ozone
Algorithms
Machine learning
Atmospheric pollution
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/25091
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