10 results on '"Kobayashi, Kazuma"'
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2. Uncertainty Quantification and Sensitivity Analysis for Digital Twin Enabling Technology : Application for BISON Fuel Performance Code
3. Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications
4. Data-Driven Multi-scale Modeling and Robust Optimization of Composite Structure with Uncertainty Quantification
5. Robust Design Optimization Method for Engineering System
6. Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging for the Prediction of Accident-Tolerant Fuel Properties
7. Digital Twin for Multi-criteria Decision-Making Framework to Accelerate Fuel Qualification for Accident Tolerant Fuel Concepts
8. Practical Applications of Gaussian Process with Uncertainty Quantification and Sensitivity Analysis for Digital Twin for Accident-Tolerant Fuel
9. Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing
10. Modern Computational Technologies for Establishing Precision Brachytherapy: From Non-rigid Image Registration to Deep Learning
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