1 citations · 1 across the 2 of their papers we have counts for
3 papers
TextureMeDefect: LLM-based Defect Texture Generation for Railway Components on Mobile Devices
Rahatara Ferdousi, M. Anwar Hossain, Abdulmotaleb El Saddik
Texture image generation has been studied for various applications, including gaming and entertainment. However, context-specific realistic texture generation for industrial applic…
DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection
Rahatara Ferdousi, M. Anwar Hossain, Chunsheng Yang +1
A Digital Twin (DT) replicates objects, processes, or systems for real-time monitoring, simulation, and predictive maintenance. Recent advancements like Large Language Models (LLMs…
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection
Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain +3
Recent advancements in cognitive computing, with the integration of deep learning techniques, have facilitated the development of intelligent cognitive systems (ICS). This is parti…