Explainable Artificial Intelligence (XAI) for Air Quality Assessment
Sayan Chakraborty,
Bitan Misra,
Nilanjan Dey
Abstract:Accurate air quality analysis is essential for comprehending the reasons for and consequences of air pollution, which is a serious environmental concern. Understanding the underlying causes contributing to pollution levels is challenging when using traditional methodologies for air quality analysis since they frequently lack transparency and interpretability. This work examines the integration of XAI with deep learning to enhance air quality prediction. Explainable AI provides a solution by illuminating the wa… Show more
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