Berkcan Kapusuzoğlu
PulseAugur coverage of Berkcan Kapusuzoğlu — every cluster mentioning Berkcan Kapusuzoğlu across labs, papers, and developer communities, ranked by signal.
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New Bayesian calibration method fuses heterogeneous data for dynamic systems
This paper introduces a novel multi-level Bayesian calibration method designed to fuse information from various sources and account for uncertainties in dynamic multi-component systems. The approach quantifies uncertain…
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New AI methods optimize 3D printing quality under uncertainty · 3 sources tracked
Researchers have developed new methodologies for optimizing the fused filament fabrication (FFF) process, focusing on improving part quality under uncertainty. One approach uses Bayesian neural networks to predict geome…
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New adaptive surrogate modeling tackles high-dimensional spatio-temporal data
Researchers have developed a new adaptive surrogate modeling method designed to handle problems with extremely high-dimensional spatio-temporal outputs. This approach first reduces the dimensionality of the output data …
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New ML methods fuse physics and data for better sensitivity analysis
Researchers have developed new physics-informed machine learning strategies to improve global sensitivity analysis (GSA) by effectively combining physics-based models with experimental data. The study explores two machi…