Artificial Intelligence (AI) and its Applications in Engineering
Nesrat Hocine Sadam, Dalilan Sadane, Omar Ben Mya
Abstract
The intervention addresses the role of artificial intelligence in improving air pollution predictions in urban neighborhoods. The theoretical framework of artificial intelligence techniques and their potential applications in enhancing air quality predictions at the neighborhood level is analyzed. Research on the application of machine learning methods to improve air pollution predictions in urban neighborhoods is reviewed. The focus is on the analysis of the theoretical models used in air emission predictions and the evaluation of models used in air quality predictions at the urban neighborhood level. Anticipated outcomes from the application of artificial intelligence without practical implementation are identified, along with an analysis of previous relevant studies on air pollution predictions in urban neighborhoods. The conclusion emphasizes the importance of the theoretical study in improving air pollution forecasts in urban neighborhoods
Details
| Original language | English |
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| Event | International Pluridisciplinary PhD Meeting IPPM23 |
| Publication status | Published — December 2023 |