Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM_2.5 Level

Particulate matter forecasting is fundamental for early warning and controlling air pollution, especially PM2.5. The increase in this level of concentration will lead to a negative impact on public health. This study develops a hybrid model of CNN-LSTM and CONV-LSTM by combining a convolutional neur...

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Hauptverfasser:	Tafia Hasna Putri, Rezzy Eko Caraka, Toni Toharudin, Yunho Kim, Rung-Ching Chen, Prana Ugiana Gio, Anjar Dimara Sakti, Resa Septiani Pontoh, Indah Reski Pratiwi, Farid Azhar Lutfi Nugraha, Thalita Safa Azzahra, Jessica Jesslyn Cerelia, Gumgum Darmawan, Defi Yusti Faidah, Bens Pardamean
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	PM2.5 time series CNN LSTM nowcasting
Online-Zugang:	https://ieeexplore.ieee.org/document/10443012/
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