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As such, a new BRB based prognosis model is proposed to predict the system failure in real-time when two failure modes are dependent and competitive.
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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.
The previous HMM based prognosis method assumed that the transition probabilities are only state-dependent.
The base model is $399.
The program model is based on "Housing First".
This model is based on four principles.
The model is based on three assumptions.
"Our revenue model is all advertising based.
A conditional stepwise algorithm based on likelihood rate analysis according to the Cox's proportional hazard model was used to identify the best combination of significant prognosis factors.
Several sources of uncertainties and the developed stiffness degradation model are included in the prognosis framework.
Our definition of poor or non-poor prognosis was based on factors that are associated with (rapid) radiographic progression and are also used in prediction models [ 10- 13].
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