Accurate hourly AQI prediction using temporal CNN-LSTM-MHA+GRU: A case study of seasonal variations and pollution extremes in Visakhapatnam, India
This research presents an innovative hybrid deep learning architecture, CNN-LSTM-MHA+GRU, aimed at precise hourly predictions of the Air Quality Index (AQI) utilizing dataset derived from Visakhapatnam, India (October 2022–October 2024). The framework amalgamates one-dimensional Convolutional Neural...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025023758 |
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