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A hybrid CNN-LSTM deep learning framework, integrated with explainable AI tools like SHAP, LIME, and PDP, outperforms traditional statistical and isolated deep learning models in forecasting the Air Quality Index (AQI), though its performance is highly region-dependent. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Deep learning-based AQI forecasting: a CNN-LSTM model with visual insights from SHAP-LIME and PDP

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