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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Multi-Task Crack Foundation Model for Engineering-Reliable Crack Representation and Topology Preservation in Civil Infrastructure

    Researchers have developed CrackGeoFM, a novel multi-task framework designed to improve crack representation and topology preservation in civil infrastructure assessments. This model combines a frozen visual foundation backbone with specialized adaptation modules for predicting crack masks, reconstructing their skeletal structure, and estimating uncertainty. By integrating a frequency-guided enhancement module and a domain adaptation module, CrackGeoFM aims to provide more reliable and generalizable crack analysis for engineering purposes. AI

    IMPACT Enhances the reliability and generalizability of crack analysis for infrastructure assessment.