Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an
essential layer of safety assurance that could lead to more principled decision making by …
essential layer of safety assurance that could lead to more principled decision making by …
[HTML][HTML] Mountaineering team-based optimization: A novel human-based metaheuristic algorithm
This paper proposes a novel optimization method for solving real-world optimization
problems. It is inspired by a cooperative human phenomenon named the mountaineering …
problems. It is inspired by a cooperative human phenomenon named the mountaineering …
A Review of Recent Advances in Surrogate Models for Uncertainty Quantification of High-Dimensional Engineering Applications
Z Azarhoosh, MI Ghazaan - Computer Methods in Applied Mechanics and …, 2025 - Elsevier
In fields where predictions may have vital consequences, uncertainty quantification (UQ)
plays a crucial role, as it enables more accurate forecasts and mitigates the potential risks …
plays a crucial role, as it enables more accurate forecasts and mitigates the potential risks …
An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation
J Zhang, M **_criterion/links/61eedf888d338833e390e594/Efficient-adaptive-Kriging-based-reliability-analysis-combining-new-learning-function-and-error-based-stop**-criterion.pdf" data-clk="hl=pl&sa=T&oi=gga&ct=gga&cd=6&d=11977313152217998642&ei=cZKvZ-oNgL3qtA_b2YjoBg" data-clk-atid="MmWRedr2N6YJ" target="_blank">[PDF] researchgate.net
Efficient adaptive Kriging-based reliability analysis combining new learning function and error-based stop** criterion
The Kriging-based reliability analysis is extensively adopted in engineering structural
reliability analysis for its capacity to achieve accurate failure probability estimation with high …
reliability analysis for its capacity to achieve accurate failure probability estimation with high …
A new sampling approach for system reliability-based design optimization under multiple simulation models
In this paper, a new system reliability-based design optimization (SRBDO) method is
proposed for problems where performance function values are obtained from different …
proposed for problems where performance function values are obtained from different …
A novel Bayesian optimization for flow condensation enhancement using nanorefrigerant: a combined analytical and experimental study
B Rezaeianjouybari, M Sheikholeslami… - Chemical Engineering …, 2020 - Elsevier
According to the recent researches, adding nanomaterial within the pure refrigerant can
substantially enhance the heat transfer rate in phase change (boiling/condensing) flows …
substantially enhance the heat transfer rate in phase change (boiling/condensing) flows …
Portfolio allocation strategy for active learning Kriging-based structural reliability analysis
Recently, numerous studies have focused on structural reliability analysis, with the Kriging-
based active learning method being particularly popular. A variety of Kriging-based learning …
based active learning method being particularly popular. A variety of Kriging-based learning …