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Stress Wave Tomography of Wood Internal Defects Based on Deep Learning and Contour Constraint Under Sparse Sampling.

, , , and . IScIDE (2), volume 11936 of Lecture Notes in Computer Science, page 335-346. Springer, (2019)

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Stress Wave Tomography of Wood Internal Defects Based on Deep Learning and Contour Constraint Under Sparse Sampling., , , and . IScIDE (2), volume 11936 of Lecture Notes in Computer Science, page 335-346. Springer, (2019)A simple forward-backward procedure for real-time signal timing adjustment on oversaturated arterial networks., , and . ITSC, page 1126-1131. IEEE, (2011)A Case Study of the 3D Water Vapor Tomography Model Based on a Fast Voxel Traversal Algorithm for Ray Tracing., , , , , and . Remote. Sens., 13 (12): 2422 (2021)SMART-SIGNAL: Systematic Monitoring of Arterial Road Traffic Signals., , , , and . ITSC, page 1061-1066. IEEE, (2008)SVDF: enhancing structural variation detect from long-read sequencing via automatic filtering strategies., , , , , , , and . Briefings Bioinform., (2024)Sparsity-aided radarwaveform synthesis., , , and . EUSIPCO, page 2270-2274. IEEE, (2014)A bridging technique to analyze the influence of boundary conditions on instability patterns., , and . J. Comput. Phys., 230 (10): 3753-3764 (2011)Causal Discovery of Dynamic Bayesian Networks., , , , and . Australasian Conference on Artificial Intelligence, volume 7691 of Lecture Notes in Computer Science, page 902-913. Springer, (2012)Decoupled Rate-Optimal User Association for Full-Duplex Heterogeneous Networks., and . ICC, page 1-7. IEEE, (2018)Variable separation solutions obtained from Darboux Transformations for the asymmetric Nizhnik-Novikov-Veselov system, , , and . Chaos, Solitons & Fractals, 22 (2): 327--334 (October 2004)