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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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D. M. Ahmed

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Open access Aug 2026

Adaptive Multi-Task Learning for Urban Air Quality Assessment

A Temporal-Aware Multi-Task Learning (TMTL-AQI) framework to assess urban air quality via structured data that outperforms single-task and baseline multi-task models with an accuracy of 0.7605 and an F1-score of 0.7422.

Iman Youssif Ibrahim, D. M. Ahmed · 0 citations

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