Results 71 to 80 of about 2,032,077 (205)
Cost per outcome averted under base model assumptions with 95% prediction interval from probabilistic sensitivity analysis.
Gizem M. Bilgin (16877100) +3 more
core +1 more source
Probabilistic property prediction of aero-engine components for fatigue
Presentation on probabilistic property prediction of aero-engine components for ...
Basoalto, Hector +3 more
core +2 more sources
A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines
Accurate and reliable modeling of the degradation process is crucial for developing preventive maintenance strategies for wind turbines (WTs). However, the degradation data of WTs exhibit complex patterns and are often interfered with by noise, making it
Weifei Hu +6 more
doaj +1 more source
Traditional machine learning models for concrete compressive strength prediction provide only single-value estimates without quantifying the probability of meeting design requirements, leaving engineers unable to make risk-informed decisions.
Cheng Zhang +4 more
doaj +1 more source
A Bayesian Hierarchical Approach to Ensemble Weather Forecasting [PDF]
In meteorology, the traditional approach to forecasting employs deterministic models mimicking atmospheric dynamics. Forecast uncertainty due to the partial knowledge of initial conditions is tackled by Ensemble Predictions Systems (EPS).
Daniela Cocchi, Antonio Fabio Di Narzo
core
Probabilistic Prediction of Spudcan Bearing Capacity in Stiff-over-Soft Clay Based on Bayes’ Theorem
During offshore operations of jack-up platforms, the spudcan may experience sudden punch-through failure when penetrating from an overlying stiff clay layer into the underlying soft clay, posing significant risks to platform safety.
Zhaoyu Sun +4 more
doaj +1 more source
Probabilistic Business Failure Prediction in Discounted Cash Flow Bond and Equity Valuation [PDF]
The purpose of the paper is to incorporate probabilistic business failure predictions in discounted cash flow (DCF) models for the valuation of company bonds and owners´ equity.
Skogsvik, Kenth
core
Probabilistic Dependency Networks for Prediction and Diagnostics
Presented at the Transportation Research Board Annual Meeting ...
Narayanan Unny Edakunni +4 more
openaire +2 more sources
Predictions in the form of probability distributions are crucial for effective decision-making. Quantile regression enables such predictions within spatial prediction settings that aim to create improved precipitation datasets by merging remote sensing ...
Georgia Papacharalampous +3 more
doaj +1 more source
The compressive strength and ultimate strain of FRP-confined concrete cylinders are the key indicators for evaluating their mechanical properties. Accurate prediction of compressive strength and ultimate strain is essential for reliability analysis and ...
Feng Cao +4 more
doaj +1 more source

