Application of deep learning techniques for analysis and prediction of particulate matter at Kota city, India
Air pollution significantly threatens human health and the environment, making accurate prediction of pollutant concentrations crucial for effective mitigation. This study leverages deep learning models, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, to predict c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Bologna
2024-12-01
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| Series: | EQA |
| Subjects: | |
| Online Access: | https://eqa.unibo.it/article/view/20687 |
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