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Gollapudi SVSSVN Rithvik

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Aug 2026

Hybrid Deep Learning with Attention-Based Interpretability for PM2.5 Forecasting in Delhi Urban Environments.

The novelty of CORTA-Net lies in combining explicit CorrXGBoost-Rank feature screening, transfer-learning-based temporal encoding, MODIS fire-activity integration, and multi-head attention-based model-behavior analysis in a single reproducible PM2.5 forecasting pipeline.

Mahasiva Saravagna Sai Lakshmi, Gollapudi SVSSVN Rithvik, C. V. V. Ramana et al. · 0 citations

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