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2020 – today
- 2024
[j6]Rahatara Ferdousi
, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El-Saddik:
A reusable AI-enabled defect detection system for railway using ensembled CNN. Appl. Intell. 54(20): 9723-9740 (2024)- [j5]Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain, Fedwa Laamarti, M. Shamim Hossain, Abdulmotaleb El-Saddik:
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection. Cogn. Comput. 16(5): 1-16 (2024) - [c6]Rahatara Ferdousi, Mohammed Faisal, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El-Saddik:
Exploring User Perceptions of Virtual Reality Scene Design in Metaverse Learning Environments. ICCE 2024: 1-6 - [i5]Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain, Fedwa Laamarti, M. Shamim Hossain, Abdulmotaleb El-Saddik:
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection. CoRR abs/2401.00393 (2024) - [i4]Rahatara Ferdousi, M. Anwar Hossain, Chunsheng Yang, Abdulmotaleb El-Saddik:
DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection. CoRR abs/2409.06725 (2024) - [i3]Rahatara Ferdousi, M. Anwar Hossain, Abdulmotaleb El-Saddik:
TextureMeDefect: LLM-based Defect Texture Generation for Railway Components on Mobile Devices. CoRR abs/2410.18085 (2024) - 2023
- [j4]Sara Ghaboura, Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El-Saddik:
Digital Twin for Railway: A Comprehensive Survey. IEEE Access 11: 120237-120257 (2023) - [i2]Rahatara Ferdousi, Mohammed Faisal, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El-Saddik:
Exploring User Perceptions of Virtual Reality Scene Design in Metaverse Learning Environments. CoRR abs/2311.10256 (2023) - [i1]Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El-Saddik:
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN. CoRR abs/2311.14824 (2023) - 2022
- [c5]Chunsheng Yang, Rahatara Ferdousi, Abdulmotaleb El-Saddik, Yifeng Li, Zheng Liu, Min Liao:
Lifetime Learning-enabled Modelling Framework for Digital Twin. CASE 2022: 1761-1766 - [c4]Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El-Saddik:
RailTwin: A Digital Twin Framework For Railway. CASE 2022: 1767-1772 - [c3]Rahatara Ferdousi, Nabila Mabruba, Fedwa Laamarti, Abdulmotaleb El-Saddik, Chunsheng Yang:
Non-invasive Anemia Detection from Conjunctival Images. ICSM 2022: 189-201 - 2021
- [j3]Rahatara Ferdousi, M. Anwar Hossain, Abdulmotaleb El-Saddik:
Early-Stage Risk Prediction of Non-Communicable Disease Using Machine Learning in Health CPS. IEEE Access 9: 96823-96837 (2021) - [c2]Anika Tabassum Bristy, Rahatara Ferdousi, Arman Hossain, M. M. Faniqul Islam, M. Anwar Hossain, Abdulmotaleb El-Saddik:
Post COVID-19 Intelligent Public Healthcare Management. GLOBECOM (Workshops) 2021: 1-6 - [c1]Rahatara Ferdousi, M. Anwar Hossain, Abdulmotaleb El-Saddik:
IoT-enabled model for Digital Twin Of Mental Stress (DTMS). GLOBECOM (Workshops) 2021: 1-6 - 2020
- [j2]M. Anwar Hossain, Rahatara Ferdousi, Sk Alamgir Hossain, Mohammed F. Alhamid, Abdulmotaleb El-Saddik:
A Novel Framework for Recommending Data Mining Algorithm in Dynamic IoT Environment. IEEE Access 8: 157333-157345 (2020) - [j1]M. Anwar Hossain, Rahatara Ferdousi, Mohammed F. Alhamid:
Knowledge-driven machine learning based framework for early-stage disease risk prediction in edge environment. J. Parallel Distributed Comput. 146: 25-34 (2020)
Coauthor Index
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