DESIGN AND RESULTS OF AN AI-BASED FORECASTING OF AIR POLLUTANTS FOR SMART CITIES

DESIGN AND RESULTS OF AN AI-BASED FORECASTING OF AIR POLLUTANTS FOR SMART CITIES

This paper presents the design and the results of a novel approach to predict air pollutants in urban environments. The objective is to create an artificial intelligence (AI)-based system to support planning actors in taking effective and adequate short-term measures against unfavourable air quality...

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Bibliographic Details
Main Authors: L. Petry, T. Meiers, D. Reuschenberg, S. Mirzavand Borujeni, J. Arndt, L. Odenthal, T. Erbertseder, H. Taubenböck, I. Müller, E. Kalusche, B. Weber, J. Käflein, C. Mayer, G. Meinel, C. Gengenbach, H. Herold
Format: Article
Language:English
Published: Copernicus Publications 2021-09-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VIII-4-W1-2021/89/2021/isprs-annals-VIII-4-W1-2021-89-2021.pdf

Internet

https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VIII-4-W1-2021/89/2021/isprs-annals-VIII-4-W1-2021-89-2021.pdf

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