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P. Saurabh

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Open access Oct 2026

Explainable hybrid deep learning framework for air quality index prediction in Indian cities

Air pollution constitutes one of the most pressing environmental and public health crises of the twenty-first century, disproportionately affecting rapidly urbanising nations such as India. Accurate prediction of the Air Quality Index (AQI) is essential for enabling timely hospital preparedness, school-closure decision...

Priyal Singhal, P. Saurabh, Mayank Sharma et al. · 0 citations
Open access Aug 2026

A novel optimized deep ensemble for monkeypox lesion detection using transfer learning and ABC algorithm

This paper proposes MPox-Net1.0: An Artificial Bee Colony (ABC)-optimized weighted ensemble of pre-trained convolutional neural networks (CNNs) for monkeypox classification that integrates transfer learning with swarm intelligence to dynamically balance model contributions based on prediction confidence.

Prashant Sharma, Achin Jain, A. Dubey et al. · 0 citations
Open access Aug 2026

A hybrid CNN-BiLSTM edge-cloud intrusion detection system with online incremental learning and SHAP explainability for smart city IoT

MI-IDS is presented, a hybrid Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN-BiLSTM) ensemble deployed on a two-tier edge-cloud framework that integrates reservoir-sampling-based incremental learning and SHAP explainability under a single experimentally validated pipeline.

Manjot Kaur, Kedar Nath Singh, Alpana Suman et al. · 0 citations

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