Rahatara Ferdousi

Orcid: 0000-0003-1143-2370

According to our database1, Rahatara Ferdousi authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
A reusable AI-enabled defect detection system for railway using ensembled CNN.
Appl. Intell., October, 2024

Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection.
Cogn. Comput., September, 2024

TextureMeDefect: LLM-based Defect Texture Generation for Railway Components on Mobile Devices.
CoRR, 2024

DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection.
CoRR, 2024

Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection.
CoRR, 2024

Exploring User Perceptions of Virtual Reality Scene Design in Metaverse Learning Environments.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023
Digital Twin for Railway: A Comprehensive Survey.
IEEE Access, 2023

2022
Non-invasive Anemia Detection from Conjunctival Images.
Proceedings of the Smart Multimedia - Third International Conference, 2022

Lifetime Learning-enabled Modelling Framework for Digital Twin.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

RailTwin: A Digital Twin Framework For Railway.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Early-Stage Risk Prediction of Non-Communicable Disease Using Machine Learning in Health CPS.
IEEE Access, 2021

IoT-enabled model for Digital Twin Of Mental Stress (DTMS).
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Post COVID-19 Intelligent Public Healthcare Management.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020
Knowledge-driven machine learning based framework for early-stage disease risk prediction in edge environment.
J. Parallel Distributed Comput., 2020

A Novel Framework for Recommending Data Mining Algorithm in Dynamic IoT Environment.
IEEE Access, 2020


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