Artificial Intelligence for Air Quality Monitoring and Prediction (Hardcover, 1)

1.?Air Quality Monitoring (AQM) and Prediction: Transitioning from Conventional to AI Techniques.? 2.?Temporal Variations of Sulphur Dioxide Levels across India: A Biennial Assessment (2020-2021).? 3.?The Effectiveness of Machine Learning Techniques in Enhancing Air Quality Prediction.? 4.?Enhancing Environmental Resilience: Precision in Air Quality Monitoring through AI-Driven Real-Time Systems.? 5.?Forecasting Air Pollution with Artificial Intelligence: Recent Advancements at Global Scale and Future Perspectives.? 6.?Integrating AI into Air Quality Monitoring: Precision and Progress.? 7.?Application of AI-based Tools in Air Pollution Study.? 8.?Study of Extreme Weather Events in the Central Himalayan Region through Machine Learning and Artificial Intelligence: A Case Study.? 9.?Machine Learning Applications in Air Quality Management and Policies.? 10.?A Glimpse into Tomorrow's Air: Leveraging PM 2.5 with FP Prophet as a Forecasting Model.? 11.?Air Quality Forecast using Machine Learning Algorithms.? 12.?Deep Learning Approaches in Air Quality Prediction.? 13.?Incorporation of AI with Conventional Monitoring Systems.? 14.?A Comparative Evaluation of AI-Based Methods and Traditional Approaches for Air Quality Monitoring: Analyzing Pros and Cons.? 15.?ML Driven Hydrogen Yield Prediction for Sustainable Environment.