Nesrat Hocine SadamDalilan SadaneOmar Ben Mya2024-05-282024-05-282023-12-11Nesrat Hocine Sadam, Dalilan Sadane. Omar Ben Mya. Artificial Intelligence (AI) and its Applications in Engineering: Artificial Intelligence Integration for Enhanced Urban Air Quality Predictions at the Neighborhood Scale: A Theoretical Study. International Pluridsciplinary PhD Meeting IPPM 23. Faculty of technology. University of Eloued [visited in ../../…]. Available from[ Copy the link here]https://dspace.univ-eloued.dz/handle/123456789/32764InterventionThe 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 neighborhoodsenAir pollution predictionMachine learningEnhanced predictionArtificial intelligence integrationTheoretical modelsAir emission forecastsTime series analysisArtificial Intelligence (AI) and its Applications in EngineeringArtificial Intelligence Integration for Enhanced Urban Air Quality Predictions at the Neighborhood Scale: A Theoretical StudyIntervention