Sanjida Afroz Shimu

Real-time flood severity classification using MobileViT and visual data in resource-constrained environment of Bangladesh

This study presents a lightweight, real-time flood severity classification system based on MobiFloodViT, a vision transformer architecture optimized for mobile and embedded platforms that offers a scalable, non-intrusive, and cost-efficient solution for real-time flood detection and severity classification.