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Merched Azzi on Muck Rack

Merched Azzi

As seen in: IEEE, MDPI
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Articles

A Deep-Learning-Based Visualization Tool for Air Pollution Forecasting

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By Hoang Le, Xavier Barthelemy, Merched Azzi, Hiep Nguyen Duc
| IEEE
Air pollution is becoming a pressing issue affecting human health, with 7.3 billion people worldwide facing air pollution levels considered unsafe, according to WHO statistics.1 In Australia, the government has strongly committed to a Nature Positive Plan designed to improve the national environment with a major target “to provide an authoritative source of high-quality environmental information.”2 Globally, ensuring the availability of reliable information for monitoring and forecasting air...
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Atmosphere | Free Full-Text | Visualising Daily PM10 Pollution in an Open-Cut Mining Valley of New South Wales, Australia-Part II: Classification of Synoptic Circulation Types and Local Meteorological Patterns and Their Relation to Elevated Air Pollution

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By Ningbo Jiang, Matthew Riley, Merched Azzi, Giovanni Di Virgilio
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Atmosphere | Free Full-Text | Visualising Daily PM10 Pollution in an Open-Cut Mining Valley of New South Wales, Australia-Part I: Identification of Spatial and Temporal Variation Patterns

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By Ningbo Jiang, Matthew Riley, Merched Azzi, Praveen Puppala
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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