Author

D. Soundaravalli

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Conference Open access 2026

Enhanced Air Quality Index Forecasting through Genetic Algorithm-Based Kernel Extreme Learning Machine

The proposed GA-KELM forecasting model is investigated through experiments using long-term data sets recorded by monitoring air pollution of a metropolitan city in China and exhibits higher prediction accuracy, smaller forecasting error, and better robustness compared to the existing models.

M. Prince, B. Rajalingam, D. Soundaravalli et al. · ITM Web of Conferences · 0 citations

Conference Open access 2026

Explainable Multimodal AI Systems: A Framework for Transparent, Trustworthy, and Responsible Intelligence

Multimodal AI (XMAI) systems incorporate various data modalities, including text, speech, images, sensor data, and structured data, to facilitate more informed human decision-making. Multimodal fusion significantly enhances predictive accuracy; however, it concurrently increases system complexity, thereby rendering int...

B. Rajalingam, D. Soundaravalli, S. Kowsalya et al. · ITM Web of Conferences · 0 citations