Bridging Simulation and Experiment: A Self-Supervised Domain Adaptation Framework for Concrete Damage Classification

Documenti analoghi

• A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
  di: Xu, Chen, et al.
  Pubblicazione: (2023)
• Signal Classification Recovery Across Domains Using Unsupervised Domain Adaptation
  di: Ali, Mohammad, et al.
  Pubblicazione: (2025)
• Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems
  di: Yao, S., et al.
  Pubblicazione: (2025)
• Finite Element and Machine Learning Modeling of Autogenous Self-Healing Concrete
  di: Liu, William
  Pubblicazione: (2025)
• Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion
  di: Li, Ruikun, et al.
  Pubblicazione: (2025)