System and methods for real time noninvasive estimation of cardiovascular parameters

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System and methods for real time noninvasive estimation of cardiovascular parameters

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Regularization for distributionally robust state estimation and prediction

ReLU Neural Network Galerkin BEM

An equilibrated flux a posteriori error estimator for defeaturing problems

Improved extended-range prediction of persistent stratospheric perturbations using machine learning

Data-driven approaches for non-invasive cuffless blood pressure monitoring

Enriching the Computational Toolbox for Organocatalysis

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Detecting Anomalies and Obstacles in Road Scenes