IMAGE-BASED DEEP LEARNING FOR RHEOLOGY DETERMINATION OF BINGHAM FLUIDS

6 citations as recorded by crossref.

1. Review of Research Methods for Real-Time Detection of Fresh Concrete Properties in the Mixing State Based on Machine Vision J. Hao et al. https://doi.org/10.1061/JMCEE7.MTENG-22587
2. Image‐based analysis of fresh concrete flow ‐ determining the correlation between flow behavior and rheological properties C. Vogel et al. https://doi.org/10.1002/cepa.2916
3. Recent developments towards digital concrete S. Nunes https://doi.org/10.1016/j.matpr.2023.07.023
4. Estimating the Workability of Concrete with a Stereovision Camera during Mixing T. Ojala & J. Punkki https://doi.org/10.3390/s24144472
5. Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test T. Schack et al. https://doi.org/10.1016/j.cscm.2024.e03973
6. Fresh Concrete Properties from Stereoscopic Image Sequences M. Meyer et al. https://doi.org/10.1007/s41064-024-00303-0