System and methods for real time noninvasive estimation of cardiovascular parameters

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The increasing availability of sensing techniques provides a great opportunity for engineers to design state estimation methods, which are optimal for the system under observation and the observed noise patterns. However, these patterns often do not fulfil ...

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An a posteriori error estimator based on an equilibrated flux reconstruction is proposed for defeaturing problems in the context of finite element discretizations. Defeaturing consists in the simplification of a geometry by removing features that are consi ...

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Blood pressure (BP) is a crucial indicator of cardiovascular health. Hypertension is a common life-threatening condition and a key factor of cardiovascular diseases (CVDs). Identifying abnormal BP fluctuations can allow for early detection and management o ...

Organocatalysis has evolved significantly over the last decades, becoming a pillar of synthetic chemistry, but traditional theoretical approaches based on quantum mechanical computations to investigate reaction mechanisms and provide rationalizations of ca ...

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Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...

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System and methods for real time noninvasive estimation of cardiovascular parameters

Chattez avec Graph Search

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