2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
ChatGpt Content detection: A new approach using xlm-roberta alignment
Md Tasnin Tanvir, Dr Santanu Kumar Dash, Ishan Shahnan +4
The challenge of separating AI-generated text from human-authored content is becoming more urgent as generative AI technologies like ChatGPT become more widely available. In this w…
Landslide vulnerability analysis using frequency ratio (FR) model: a study on Bandarban district, Bangladesh
Nafis Fuad, Javed Meandad, Ashraful Haque +3
This study assesses landslide vulnerability in the Chittagong Hill Tracts (CHT), specifically focusing on Bandarban district in Southeast Bangladesh. By employing a multidisciplina…