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05/20/2023
Sequential Latin Hypercube Design for Two-layer Computer Simulators
The two-layer computer simulators are commonly used to mimic multi-physi...
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01/12/2022
Coverage Path Planning for Robotic Quality Inspection with Control on Measurement Uncertainty
The optical scanning gauges mounted on the robots are commonly used in q...
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12/17/2021
Nested Bayesian Optimization for Computer Experiments
Computer experiments can emulate the physical systems, help computationa...
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12/13/2021
WOOD: Wasserstein-based Out-of-Distribution Detection
The training and test data for deep-neural-network-based classifiers are...
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10/27/2021
Failure-averse Active Learning for Physics-constrained Systems
Active learning is a subfield of machine learning that is devised for de...
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09/22/2021
A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems
Some response surface functions in complex engineering systems are usual...
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06/15/2021
Task Allocation and Coordinated Motion Planning for Autonomous Multi-Robot Optical Inspection Systems
Autonomous multi-robot optical inspection systems are increasingly appli...
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05/14/2021
Partitioned Active Learning for Heterogeneous Systems
Cost-effective and high-precision surrogate modeling is a cornerstone of...
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12/12/2020
NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis
Finite element analysis (FEA) has been widely used to generate simulatio...
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11/21/2020
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
Developing machine learning enabled smart manufacturing is promising for...
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11/20/2020
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Catastrophic failure in brittle materials is often due to the rapid grow...
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09/24/2020
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
High-dimensional streaming data are becoming increasingly ubiquitous in ...
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05/28/2020
CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning
Feature extraction for tensor data serves as an important step in many t...
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05/15/2020
Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces
Structural dimensional inspection is vital for the process monitoring, q...
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04/23/2020
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
In the machine learning domain, active learning is an iterative data sel...
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04/19/2020
Real-time Data-driven Quality Assessment for Continuous Manufacturing of Carbon Nanotube Buckypaper
Carbon nanotube (CNT) thin sheet, or buckypaper, has shown great potenti...
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02/04/2020
Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process
In this paper, we investigate Gaussian process regression with input loc...
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12/29/2019
Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation
Estimation of model parameters of computer simulators, also known as cal...
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04/09/2018