Bayesian-based probabilistic fatigue crack growth evaluation combined with machine-learning-assisted GPR
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Fracture Mechanics"
DOI: 10.1016/j.engfracmech.2020.106933
Abstract: Abstract This paper presents a Bayesian-based calibration method that simultaneously improves the model accuracy and the computational efficiency for fatigue crack growth (FCG) life prediction on turbine discs. Uncertainties derived from geometry, material and models… read more here.
Keywords: fatigue crack; fatigue; crack; bayesian based ... See more keywords
A New Variational Bayesian-Based Kalman Filter with Unknown Time-Varying Measurement Loss Probability and Non-Stationary Heavy-Tailed Measurement Noise
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23101351
Abstract: In this paper, a new variational Bayesian-based Kalman filter (KF) is presented to solve the filtering problem for a linear system with unknown time-varying measurement loss probability (UTVMLP) and non-stationary heavy-tailed measurement noise (NSHTMN). Firstly,… read more here.
Keywords: variational bayesian; probability; kalman filter; new variational ... See more keywords
The Bayesian-Based Area under the Curve of Vancomycin by Using a Single Trough Level: An Evaluation of Accuracy and Discordance at Tertiary Care Hospital in KSA
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DOI: 10.3390/healthcare11030362
Abstract: The AUC0–24 is the most accurate way to track the vancomycin level while the Cmin is not an accurate surrogate. Most hospitals in Saudi Arabia are under-practicing the AUC-guided vancomycin dosing and monitoring. No previous… read more here.
Keywords: vancomycin; bayesian based; accuracy; discordance ... See more keywords
Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection
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DOI: 10.3390/s23115058
Abstract: With the rapid development of sensor technology, structural health monitoring data have tended to become more massive. Deep learning has advantages when handling big data, and has therefore been widely researched for diagnosing structural anomalies.… read more here.
Keywords: hyperparameter optimization; bayesian based; hyperparameter; optimization cnn ... See more keywords