GRU for Overcoming Seasonality and Trend in PM<sub>2.5</sub> Air Pollution Forecasting-Reference-Cited by-同舟云学术

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GRU for Overcoming Seasonality and Trend in PM_2.5 Air Pollution Forecasting

Published:2023-12-08 Issue: Volume:7 Page:1-6
ISSN:
Container-title:2023 Eighth International Conference on Informatics and Computing (ICIC)
language:
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Author:

Putrada Aji Gautama¹,Alamsyah Nur¹,Fauzan Mohamad Nurkamal¹,Oktaviani Ikke Dian²,Perdana Doan¹

Affiliation:

1. Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia

2. Telkom University,School of Computing,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10381889/10381891/10381963.pdf?arnumber=10381963

Reference24 articles.

1. Data multi-scale decomposition strategies for air pollution forecasting: A comprehensive review

2. Machine Learning-Based Forecast of Hemorrhagic Stroke Healthcare Service Demand considering Air Pollution

3. A review of artificial neural network models for ambient air pollution prediction

4. An LSTM-based aggregated model for air pollution forecasting

5. Deep Flexible Sequential (DFS) Model for Air Pollution Forecasting

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