Unraveling the Prediction of Fine Particulate Matter over Jaipur, India using Long Short-Term Memory Neural Network-Reference-Cited by-同舟云学术

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Unraveling the Prediction of Fine Particulate Matter over Jaipur, India using Long Short-Term Memory Neural Network

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Information Management & Machine Intelligence
language:
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Author:

Singh Uday Pratap¹^ORCID,Saxena Vivek²^ORCID,Kumar Anil¹^ORCID,Bhari Purushottam²^ORCID,Saxena Deepika³^ORCID

Affiliation:

1. Department of Artificial Intelligence & Data Science, Poornima Institute of Engineering and Technology, India

2. Department of Computer Science & Engineering, Poornima Institute of Engineering and Technology, India

3. Department of Computer Science & Engineering, Poornima University, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3590837.3590888

Reference22 articles.

1. Air quality prediction with machine learning: A review;Chen Y.;Environmental Pollution,2021

2. Hochreiter , S. , & Schmidhuber , J. ( 1997 ). Long short-term memory. Neural computation, 9(8), 1735-1780 . Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), 1735-1780.

3. Comparison of the optimal ensemble models for PM2.5 prediction using machine learning methods;Wang W.;Environmental Science and Pollution Research,2021

4. Machine learning-based prediction of PM2.5 concentrations in urban areas: A review;Xie Y.;Environmental Pollution,2022

5. Fine particulate matter air pollution and its health impacts: A comprehensive review;Li X.;Environmental Pollution,2021

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