Qasim Zaheer
Orcid: 0000-0002-8158-6837
According to our database1,
Qasim Zaheer authored at least 12 papers
between 2024 and 2026.
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Bibliography
2026
Enabling Real-Time, Cost-Efficient, and Lightweight High-Speed Crack Segmentation using Self-Supervised Attention Mechanism.
Int. J. Comput. Intell. Syst., December, 2026
DA-NGF: A Domain-Adaptive Neurogenerative Framework for Few-Shot Railway Fastener Defect Synthesis and Transferable Representation Learning.
Appl. Intell., January, 2026
Shedding Light on Explainable AI: Insights, Challenges, and the Future of Infrastructure Management.
ISPRS Int. J. Geo Inf., 2026
Multimodal graph neural network framework for railway fastener tightness assessment from high-resolution point clouds.
Eng. Appl. Artif. Intell., 2026
Knowledge graph-based operation and maintenance risk analysis and early warning approach for railway traction power supply systems.
Eng. Appl. Artif. Intell., 2026
2025
Quantification and Evaluation of Roughness of Initial Support Using Terrestrial Laser Scanning.
J. Comput. Civ. Eng., 2025
Railway-Fastener Point Cloud Segmentation and Damage Quantification Based on Deep Learning and Synthetic Data Augmentation.
J. Comput. Civ. Eng., 2025
LiDAR-Simulated Multimodal and Self-Supervised Contrastive Digital Twin Approach for Probabilistic Point Cloud Generation of Rail Fasteners.
J. Comput. Civ. Eng., 2025
Vector-Quantized Variational Teacher and Multimodal Collaborative Student for Crack Segmentation via Knowledge Distillation.
J. Comput. Civ. Eng., 2025
Attention-guided triplet framework for synthetic data generation and semantic segmentation of railway fasteners under data scarcity and disparity.
Appl. Soft Comput., 2025
2024
A multi-degree-of-freedom monitoring method for slope displacement based on stereo vision.
Comput. Aided Civ. Infrastructure Eng., July, 2024
Springer, ISBN: 978-981-99-5803-0, 2024