We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), a fast
and accurate predictor for the nonlinear correction of the matter power spectrum. 2 per cent …

Yield estimation of antenna systems is important to check their robustness with respect to the
uncertain sources. Since direct Monte Carlo sampling of accurate physics‐based models …

A novel, yet practically feasible, robust optimization approach is proposed in this study for
engineering structures involving hybrid uncertainties. Both stochastic and interval uncertain …

Computer experiments have attracted increasing attention in recent decades. General sliced
Latin hypercube design (LHD), which is a sliced LHD with multiple layers and at each layer …

This work introduces multifidelity metamodeling for reliability analysis of nondestructive
testing (NDT) systems. Specifically, the Cokriging metamodel is utilized to accelerate the …

This study proposes a novel feature extraction method that leverages multi-strategy
optimization algorithms to enhance the accuracy and efficiency of rotating machinery fault …

The quality of data used for data-driven modeling affects the model performance
significantly. Thus, design of experiments (DoE) is an important part during model …

Purpose Model-assisted probability of detection (MAPOD) is an important approach used as
part of assessing the reliability of nondestructive testing systems. The purpose of this paper …

The objective of this work is to reduce the cost of performing model-based sensitivity
analysis for ultrasonic nondestructive testing systems by replacing the accurate physics …

Lattice structures, characterized by their exceptional strength-to-weight ratios and energy
absorption capabilities, have paved the way for pioneering designs in additive …