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cs.CV2026
Mechanistic Interpretability-Guided Selective Fine-Tuning of Vision-Language Models for Centimeter-Level Flood Depth Estimation
Nafis Fuad, Xiaodong Qian, Dongxiao Zhu
Urban flooding poses an escalating threat to transportation infrastructure, yet no operational system provides real-time, street-level flood-depth estimates at centimeter resolutio…
nucl-ex2026
Physics-driven Comparative Analysis of Various Statistical Distance Metrics and Normalizing Functions
Nafis Fuad
Comparison of two probability density/mass functions (PDF/PMFs) is ubiquitous in various forms of scientific analysis, including machine learning, optimization problems, and hypoth…
cs.CV2026
LLM-Powered Flood Depth Estimation from Social Media Imagery: A Vision-Language Model Framework with Mechanistic Interpretability for Transportation Resilience
Nafis Fuad, Xiaodong Qian
Urban flooding poses an escalating threat to transportation network continuity, yet no operational system currently provides real-time, street-level flood depth information at the…