1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN
Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang +1
Accurate Defect detection is crucial for ensuring the trustworthiness of intelligent railway systems. Current approaches rely on single deep-learning models, like CNNs, which emplo…
Exploring User Perceptions of Virtual Reality Scene Design in Metaverse Learning Environments
Rahatara Ferdousi, Mohammed Faisal, Fedwa Laamarti +2
Metaverse learning environments allow for a seamless and intuitive transition between activities compared to Virtual Reality (VR) learning environments, due to their interconnected…