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Stress Prediction for Distributed Structural Health Monitoring Using Existing Measurements and Pattern Recognition.

, , , and . Sensors, 18 (2): 419 (2018)

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Compression of massive models by efficiently exploiting repeated patterns., , , , , and . VRST, page 229-230. ACM, (2009)Exploiting repeated patterns for efficient compression of massive models., , , , and . VRCAI, page 145-150. ACM, (2009)Stress Prediction for Distributed Structural Health Monitoring Using Existing Measurements and Pattern Recognition., , , and . Sensors, 18 (2): 419 (2018)Structural Health Monitoring of a Prestressed Concrete Bridge Based on Statistical Pattern Recognition of Continuous Dynamic Measurements over 14 years., , , , and . Sensors, 18 (12): 4117 (2018)Cross-correlation-based algorithm for absolute stress evaluation in steel members using the longitudinal critically refracted wave., , , and . IJDSN, (2018)Automated Modal Analysis for Tracking Structural Change during Construction and Operation Phases., , , , , and . Sensors, 19 (4): 927 (2019)Influence of Uniaxial Stress on the Shear-Wave Spectrum Propagating in Steel Members., , , , , and . Sensors, 19 (3): 492 (2019)Modelling and Sampling Ramified Objects with Substructure-Based Method., , , and . International Conference on Computational Science (2), volume 3515 of Lecture Notes in Computer Science, page 322-326. Springer, (2005)Determination of buffer capacity for payload multiplexing in SDH systems., , and . Int. J. Communication Systems, 10 (6): 285-289 (1997)An entropy coding method for floating-point texture coordinates of 3D mesh., , , , , and . ISCAS, page 1835-1838. IEEE, (2010)