Agentic AI for Multi-Source PM2.5 Pollution Analysis and Location-Based Mitigation Strategies: A Case Study in Thailand and Japan
A Multi-Agent System bridging data gathering-simulation-intervention, transforming noisy sensor data into a physics-backed simulation for data driven, air quality policy and strategies planning.
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