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Formal verification of unknown dynamical systems via Gaussian process regression
Leveraging autonomous systems in safety-critical scenarios requires verifying their
behaviors in the presence of uncertainties and black-box components that influence the …
behaviors in the presence of uncertainties and black-box components that influence the …
Contour method with uncertainty quantification: a robust and optimised framework via gaussian process regression
Background Over the past 20 years, the Contour Method (CM) has been extensively
implemented to evaluate residual stress at the macro scale, especially in products where …
implemented to evaluate residual stress at the macro scale, especially in products where …
Formal Verification of Unknown Dynamical Systems Via Gaussian Process Regression
Leveraging autonomous systems in safety-critical scenarios requires verifying their
behaviors in the presence of uncertainties and black-box components that influence the …
behaviors in the presence of uncertainties and black-box components that influence the …
Supervised Machine Learning Approaches for Structural Integrity: Residual Stress Evaluation and Defect-based Fatigue Modelling
A Tognan - 2024 - tesidottorato.depositolegale.it
Assessing the performance of structural materials is imperative to guarantee the integrity,
service continuity, durability and load-bearing capacity of engineered parts. Amongst …
service continuity, durability and load-bearing capacity of engineered parts. Amongst …
[PDF][PDF] コントローラメイクスパン最小化フレームワークの適用範囲分割と段階的比較手法
清水優希 - 2024 - waseda.repo.nii.ac.jp
コントローラメイクスパン最小化フレームワー クの適用範囲分割と段階的比較手法 Page 1 2023年度
修士論文 コントローラメイクスパン最小化フレームワー クの適用範囲分割と段階的比較手法 2024 …
修士論文 コントローラメイクスパン最小化フレームワー クの適用範囲分割と段階的比較手法 2024 …
[PDF][PDF] Towards Efficient Data Refinement for Data-driven Abstraction and Verification
Recent advances in Artificial Intelligence (AI) have propelled its integration into autonomous
systems (Winfield et al. 2019). However, applying AI to safety-critical systems poses a …
systems (Winfield et al. 2019). However, applying AI to safety-critical systems poses a …