Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM

Research article (Computers and Geotechnics, 2021) · cited 38× · AI/ML
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Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM

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Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-study-of-iterative-bayesian-filtering-to-develop-an-efficient-calibration-framework-for-dem
MLA “Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-study-of-iterative-bayesian-filtering-to-develop-an-efficient-calibration-framework-for-dem.
BibTeX @misc{4ortxyz_performance-study-of-iterative-bayesian-filtering-to-develop-an-efficient-calibration-framework-for-dem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance study of iterative Bayesian filtering to develop an efficient calibration framework for DEM}}, year = {2026}, url = {https://4ort.xyz/entity/performance-study-of-iterative-bayesian-filtering-to-develop-an-efficient-calibration-framework-for-dem}, note = {Accessed: 2026-05-24}}
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