Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning

Andrés Leiva-Araos; Tushya Vemuri; David Mena; Xudong Liu

doi:10.1109/ICMLA61862.2024.00285

Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning

Andrés Leiva-Araos, Tushya Vemuri, David Mena, Xudong Liu

School of Computing

University of North Florida

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024
Editors	M. Arif Wani, Plamen Angelov, Feng Luo, Mitsunori Ogihara, Xintao Wu, Radu-Emil Precup, Ramin Ramezani, Xiaowei Gu
Pages	1852-1857
Number of pages	6
ISBN (Electronic)	9798350374889
DOIs	https://doi.org/10.1109/ICMLA61862.2024.00285
State	Published - 2024
Event	23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024 - Miami, United States Duration: Dec 18 2024 → Dec 20 2024

Publication series

Name	Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024

Conference

Conference	23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024
Country/Territory	United States
City	Miami
Period	12/18/24 → 12/20/24

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Modeling and Simulation

Keywords

machine learning
PM10
PM2.5
pollution

Access to Document

10.1109/ICMLA61862.2024.00285

Cite this

Leiva-Araos, A., Vemuri, T., Mena, D., & Liu, X. (2024). Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. In M. A. Wani, P. Angelov, F. Luo, M. Ogihara, X. Wu, R.-E. Precup, R. Ramezani, & X. Gu (Eds.), Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024 (pp. 1852-1857). (Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024). https://doi.org/10.1109/ICMLA61862.2024.00285

Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. / Leiva-Araos, Andrés; Vemuri, Tushya; Mena, David et al.
Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024. ed. / M. Arif Wani; Plamen Angelov; Feng Luo; Mitsunori Ogihara; Xintao Wu; Radu-Emil Precup; Ramin Ramezani; Xiaowei Gu. 2024. p. 1852-1857 (Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024).

Research output: Chapter or Contribution to Book › Literary contribution

Leiva-Araos, A, Vemuri, T, Mena, D & Liu, X 2024, Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. in MA Wani, P Angelov, F Luo, M Ogihara, X Wu, R-E Precup, R Ramezani & X Gu (eds), Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024. Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024, pp. 1852-1857, 23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024, Miami, United States, 12/18/24. https://doi.org/10.1109/ICMLA61862.2024.00285

Leiva-Araos A, Vemuri T, Mena D, Liu X. Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. In Wani MA, Angelov P, Luo F, Ogihara M, Wu X, Precup RE, Ramezani R, Gu X, editors, Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024. 2024. p. 1852-1857. (Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024). doi: 10.1109/ICMLA61862.2024.00285

Leiva-Araos, Andrés ; Vemuri, Tushya ; Mena, David et al. / Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning. Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024. editor / M. Arif Wani ; Plamen Angelov ; Feng Luo ; Mitsunori Ogihara ; Xintao Wu ; Radu-Emil Precup ; Ramin Ramezani ; Xiaowei Gu. 2024. pp. 1852-1857 (Proceedings - 2024 International Conference on Machine Learning and Applications, ICMLA 2024).

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Predicting Particulate Matter Values in Metropolitan Areas Using Machine Learning

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Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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