Agentic AI for Multi-Source PM2.5 Pollution Analysis and Location-Based Mitigation Strategies: A Case Study in Thailand and Japan

Sustainability & Responsible AI Zone

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Booth

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Description

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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DEC 12, 2025
BANGKOK , THAILAND

Agentic AI for Multi-Source PM2.5 Pollution Analysis and Location-Based Mitigation Strategies: A Case Study in Thailand and Japan

speaker

Description

location

Secure Your Seat at the FrontierAI Innovation event.‍

Secure Your Seat at the Frontier
AI Innovation event.
‍