Sentence examples for probabilistic prognosis from inspiring English sources

A fully probabilistic prognosis methodology was also developed by combining the in-situ measurement model with a machine learning based prognosis model to accurately predict the real-time fatigue crack propagation using sequential Bayesian techniques.

This paper proposes an optimization strategy using utility theory and probabilistic behavior prognoses based on model falsification to support decisions related to monitoring interventions.

Accurate characterization and prediction of loading, while properly accounting for uncertainty, are essential for probabilistic fatigue damage prognosis.

One can and must have doubts, obviously of a merely probabilistic character, about diagnosis and prognosis made in the first hours of life.

Without a reasonably accurate description of the damage process at a scale that is pertinent to the desired application, probabilistic computations have minimal value for prognosis and life cycle assessment.

Her research focuses on predictive modeling, particularly including the evaluation of individualized probabilistic estimates for risk assessment and prognosis.

One reason may be that rule-based systems do not do justice to the probabilistic nature of diagnosis, etiognosis and prognosis.

For several years, probabilistic and statistical methodologies have been available to address prognosis issues, and there has been significant progress in computational methods for engineering applications.

Engineering prognosis and life cycle management have increasingly become dependent on probabilistic methods and material microstructure.

In this paper is discussed a methodology supporting prognosis process modelling which is based on the combination both of probabilistic approach for degradation mechanism modelling and of event one for degradation dynamical monitoring.

Probabilistic modeling is still a developing branch of computer science: operational research (for example probabilistic model-based prognosis) [1], decision making techniques and probabilistic modeling [2], artificial intelligence and machine learning.