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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…