VAYU: STATIONARY IOT NODES WITH SELF-ADAPTIVE DEEP LEARNING FOR HYPER-LOCAL AIR QUALITY FORECASTING
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866902253233766400 |
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| author | Dondapati Sidhartha Avuthu Sai Sreenikethan Reddy Koripelli Akhila Mr. Nellore Sudhakar Dr. M.L.M. Prasad |
| author_facet | Dondapati Sidhartha Avuthu Sai Sreenikethan Reddy Koripelli Akhila Mr. Nellore Sudhakar Dr. M.L.M. Prasad |
| contents | <p>The environment and human health are negatively impacted by air pollution, especially in crowded urban areas. This study introduces VAYU, a unique approach to hyper-local air quality forecasting that combines stationary IoT nodes with self-adaptive deep learning algorithms. Environmental sensors on each node allow for real-time measurements of temperature and pollutants like CO, PM2.5, and PM10. In compliance with Indian CPCB rules, the AQI was determined using these criteria. Integration for other pollutants, like SO₂ and NO₂, is planned for the future.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15876688 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | VAYU: STATIONARY IOT NODES WITH SELF-ADAPTIVE DEEP LEARNING FOR HYPER-LOCAL AIR QUALITY FORECASTING Dondapati Sidhartha Avuthu Sai Sreenikethan Reddy Koripelli Akhila Mr. Nellore Sudhakar Dr. M.L.M. Prasad Air quality predictions, IoT nodes, environmental sensors, self-adaptive deep learning, and hyper-local monitoring. <p>The environment and human health are negatively impacted by air pollution, especially in crowded urban areas. This study introduces VAYU, a unique approach to hyper-local air quality forecasting that combines stationary IoT nodes with self-adaptive deep learning algorithms. Environmental sensors on each node allow for real-time measurements of temperature and pollutants like CO, PM2.5, and PM10. In compliance with Indian CPCB rules, the AQI was determined using these criteria. Integration for other pollutants, like SO₂ and NO₂, is planned for the future.</p> |
| title | VAYU: STATIONARY IOT NODES WITH SELF-ADAPTIVE DEEP LEARNING FOR HYPER-LOCAL AIR QUALITY FORECASTING |
| topic | Air quality predictions, IoT nodes, environmental sensors, self-adaptive deep learning, and hyper-local monitoring. |
| url | https://doi.org/10.5281/zenodo.15876688 |