Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...
Heterogeneity among experimental units can introduce experimental errors, necessitating the use of techniques that enhance statistical inferences to address this issue. One effective approach is ...
A new Bayesian calibration framework enhances prediction accuracy for digital twins in semiconductor material handling systems. BUSAN, South Korea - July 22, 2025 - To handle growing complexity in ...
BUSAN, South Korea - July 22, 2025 - To handle growing complexity in semiconductor and display manufacturing, industries use automated material handling systems (AMHSs). Digital twins offer better ...
A new method for predicting underwater landslides may improve the resilience of offshore facilities. Below ocean wind farms, oil rigs and other offshore installations are mammoth networks of ...
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