Multi-Stage Data Fusion Architecture for Urban Environmental Analytics: Integrating Predictive Regression and Hazard Anomaly Classification

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{209962,
        author = {Soham Satish Kulkarni and Bala Jee and Krishanu Roy and Jayshree GhorpadeAher},
        title = {Multi-Stage Data Fusion Architecture for Urban Environmental Analytics: Integrating Predictive Regression and Hazard Anomaly Classification},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {5},
        pages = {3965-3978},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=209962},
        abstract = {},
        keywords = {Air quality index (AQI), class imbalance, data fusion, feature importance, hazard classification, LightGBM, Mumbai, PM2.5 prediction, SMOTE, XGBoost.},
        month = {October},
        }

Cite This Article

Kulkarni, S. S., & Jee, B., & Roy, K., & GhorpadeAher, J. (2026). Multi-Stage Data Fusion Architecture for Urban Environmental Analytics: Integrating Predictive Regression and Hazard Anomaly Classification. International Journal of Innovative Research in Technology (IJIRT), 13(5), 3965–3978.

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