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Multimodal Spatiotemporal Neural Digital Twin Framework for Early Natural Disaster Prediction and Resilient Decision Support

This study introduces RADIANT-Net, a multimodal spatiotemporal neural digital twin framework that integrates diverse environmental data and agentic AI to achieve high-accuracy early natural disaster prediction and provide rapid, adaptive decision support for resilient emergency management.

Original authors: Dannuri Mounika, Johnson Kolluri, Sunil Srinivas, Kiran Siripuri

Published 2026-09-17
📖 1 min read☕ Coffee break read

Original authors: Dannuri Mounika, Johnson Kolluri, Sunil Srinivas, Kiran Siripuri

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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