Items where Author is "Joseph, James"
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Nayak, Lipsa and Joseph, James (2026) Interpretability-Driven Crack Segmentation Using Attention-Guided Segmentation and Deep Residual Learning. In: International Conference on Intelligent Computing and Communication(ICICC).
Joseph, James and Lipsa, Nayak (2026) UVSEGNET++: A synergised multipath architecture for concrete crack segmentation. In: International Conference on Data-Driven AI (ICDDA 2025).
Nayak, Lipsa and Joseph, James (2026) Transformer Model Coupled with Dilated Convolution for Improved Crack Detection. International Journal of Intelligent Engineering and Systems, 19 (4). pp. 988-1002. ISSN 21853118