activity
20232026
most citedExploring User Perceptions of Virtual Reality Scene Design in Metaverse Learning Environments

1 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Evidence-Gated Bilingual RAG for Reliable Consumer Banking Search

Ahmed Mohamed Mahmoud Rayyan, Rana Mahmoud Mohammed, Aya Abdallah Abdelmonem +2

Consumers often describe what they need rather than use the terminology found on a banking website. For example, a natural-language request ("a card for travel") may not share the…

cs.CL2026

HerHealthEval: Evaluating Multilingual and Register-Sensitive Understanding of Women's Health Communication

Hassan Saeed Hassan Albattra, Mazen Mohammed Bahgat, Rahatara Ferdousi +2

Large language models are increasingly used in healthcare communication, yet most evaluations emphasize response quality while assuming that the user's concern has been interpreted…

cs.CV2024★ 1 cited

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…

cs.CE2024

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…

cs.CV2023

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…

cs.CV2023

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…

cs.HC2023★ 1 cited

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…