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Journal Articles

Data Fusion With Latent Map Gaussian Processes

Jonathan Tammer Eweis-Labolle, Nicholas Oune, Ramin Bostanabad

J. Mech. Des. September 2022, 144(9): 091703.

Paper No: MD-21-1733

DOI: https://doi.org/10.1115/1.4054520

Published Online: June 13, 2022

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Topics: Calibration, Data fusion, Modeling, Noise (Sound), Errors

Journal Articles

An Integrated Surrogate Modeling Method for Fusing Noisy and Noise-Free Data

Kunpeng Li, Shuo Wang, Yin Liu, Xueguan Song

J. Mech. Des. June 2022, 144(6): 061701.

Paper No: MD-21-1378

DOI: https://doi.org/10.1115/1.4053044

Published Online: January 17, 2022

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Topics: Noise (Sound)

Journal Articles

Stochastic Crashworthiness Optimization Accounting for Simulation Noise

Seyed Saeed Ahmadisoleymani, Samy Missoum

J. Mech. Des. May 2022, 144(5): 051701.

Paper No: MD-21-1123

DOI: https://doi.org/10.1115/1.4052903

Published Online: December 6, 2021

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Topics: Crashworthiness, Design, Noise (Sound), Optimization, Simulation, Uncertainty, Optimization algorithms

Journal Articles

Phrase Embedding and Clustering for Sub-Feature Extraction From Online Data

Seyoung Park, Harrison M. Kim

J. Mech. Des. May 2022, 144(5): 054501.

Paper No: MD-21-1257

DOI: https://doi.org/10.1115/1.4052904

Published Online: December 6, 2021

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Topics: Batteries, Design, Feature extraction, Fingerprints, Noise (Sound), Preferences, Product design, Security, Storage, Natural language processing

Journal Articles

Evolutionary Gaussian Processes

Robert Planas, Nick Oune, Ramin Bostanabad

J. Mech. Des. November 2021, 143(11): 111703.

Paper No: MD-20-1834

DOI: https://doi.org/10.1115/1.4050746

Published Online: May 28, 2021

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Topics: Computer programming, Errors, Interpolation, Maximum likelihood estimation, Modeling, Noise (Sound), Numerical stability, Algorithms, Databases, Optimization

Journal Articles

Automated Keyword Filtering in Latent Dirichlet Allocation for Identifying Product Attributes From Online Reviews

Junegak Joung, Harrison M. Kim

J. Mech. Des. August 2021, 143(8): 084501.

Paper No: MD-20-1445

DOI: https://doi.org/10.1115/1.4048960

Published Online: February 9, 2021

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Topics: Filtration, Noise (Sound)

Journal Articles

Scalable Adaptive Batch Sampling in Simulation-Based Design With Heteroscedastic Noise

Anton van Beek, Umar Farooq Ghumman, Joydeep Munshi, Siyu Tao, TeYu Chien, Ganesh Balasubramanian, Matthew Plumlee, Daniel Apley, Wei Chen

J. Mech. Des. March 2021, 143(3): 031709.

Paper No: MD-20-1421

DOI: https://doi.org/10.1115/1.4049134

Published Online: December 15, 2020

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Topics: Design, Noise (Sound), Optimization, Simulation, Interpolation, Uncertainty, Simulation models, Modeling

Journal Articles

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Nandan Sudarsanam, Ramya Chandran, Daniel D. Frey

J. Mech. Des. March 2020, 142(3): 031108.

Paper No: MD-19-1410

DOI: https://doi.org/10.1115/1.4045603

Published Online: December 23, 2019

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Topics: Algorithms, Design, Design theory, Experimental design, Machine learning, Modeling, Noise (Sound), Optimization, Probability, Resource allocation

Journal Articles

A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems

Feng Zhou, Jackie Ayoub, Qianli Xu, X. Jessie Yang

J. Mech. Des. January 2020, 142(1): 011101.

Paper No: MD-19-1275

DOI: https://doi.org/10.1115/1.4044435

Published Online: October 3, 2019

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Topics: Algorithms, Machine learning, Modeling, Design, Noise (Sound), Preferences

Journal Articles

Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design

Ramin Bostanabad, Yu-Chin Chan, Liwei Wang, Ping Zhu, Wei Chen

J. Mech. Des. November 2019, 141(11): 111402.

Paper No: MD-19-1164

DOI: https://doi.org/10.1115/1.4044257

Published Online: September 16, 2019

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Topics: Design, Metamaterials, Modeling, Optimization, Dimensions, Databases, Shapes, Noise (Sound)

Journal Articles

Evaluating Clustering Algorithms for Identifying Design Subproblems

Jeffrey W. Herrmann, Michael Morency, Azrah Anparasan, Erica L. Gralla

J. Mech. Des. August 2018, 140(8): 081401.

Paper No: MD-17-1814

DOI: https://doi.org/10.1115/1.4040176

Published Online: May 23, 2018

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Topics: Algorithms, Design, Teams, Noise (Sound)

Journal Articles

Characterizing the Effects of Multiple Analogs and Extraneous Information for Novice Designers in Design-by-Analogy

Hyeon Ik Song, Ricardo Lopez, Katherine Fu, Julie Linsey

J. Mech. Des. March 2018, 140(3): 031101.

Paper No: MD-17-1340

DOI: https://doi.org/10.1115/1.4038565

Published Online: December 21, 2017

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Topics: Design, Noise (Sound)

Journal Articles

Extending Expected Improvement for High-Dimensional Stochastic Optimization of Expensive Black-Box Functions

Piyush Pandita, Ilias Bilionis, Jitesh Panchal

J. Mech. Des. November 2016, 138(11): 111412.

Paper No: MD-16-1215

DOI: https://doi.org/10.1115/1.4034104

Published Online: September 12, 2016

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Topics: Design, Optimization, Uncertainty, Simulation, Noise (Sound), Approximation

Journal Articles

A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data

Sunghoon Lim, Conrad S. Tucker

J. Mech. Des. June 2016, 138(6): 061403.

Paper No: MD-15-1456

DOI: https://doi.org/10.1115/1.4033238

Published Online: April 20, 2016

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Topics: Algorithms, Errors, Feature extraction, Information retrieval, Probability, Sampling methods, Product design, Machinery, Machine learning, Mining

Journal Articles

A Mixed Interval Arithmetic/Affine Arithmetic Approach for Robust Design Optimization With Interval Uncertainty

Shaobo Wang, Xiangyun Qing

J. Mech. Des. April 2016, 138(4): 041403.

Paper No: MD-15-1491

DOI: https://doi.org/10.1115/1.4032630

Published Online: February 19, 2016

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Topics: Approximation, Design, Optimization, Robustness, Uncertainty, Noise (Sound)

Journal Articles

Multi-Objective Wind Farm Layout Optimization Considering Energy Generation and Noise Propagation With NSGA-II

Wing Yin Kwong, Peter Yun Zhang, David Romero, Joaquin Moran, Michael Morgenroth, Cristina Amon

J. Mech. Des. September 2014, 136(9): 091010.

Paper No: MD-13-1029

DOI: https://doi.org/10.1115/1.4027847

Published Online: July 3, 2014

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Topics: Modeling, Noise (Sound), Optimization, Turbines, Wakes, Wind farms, Energy generation, Design, Wind, Wind velocity

Journal Articles

Objective-Oriented Sequential Sampling for Simulation Based Robust Design Considering Multiple Sources of Uncertainty

Paul D. Arendt, Daniel W. Apley, Wei Chen

J. Mech. Des. May 2013, 135(5): 051005.

Paper No: MD-12-1307

DOI: https://doi.org/10.1115/1.4023922

Published Online: April 23, 2013

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Topics: Design, Uncertainty, Interpolation, Algorithms, Noise (Sound), Simulation

Journal Articles

Application of Multiparameter Optimization for Robust Product Design

Douglas K. Herrmann

J. Mech. Des. February 2009, 131(2): 024501.

DOI: https://doi.org/10.1115/1.3042162

Published Online: January 7, 2009

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Topics: Design, Noise (Sound), Optimization, Product design, Testing

Journal Articles

A Manuscript's Journey

Panos Y. Papalambros

J. Mech. Des. July 2008, 130(7): 070201.

DOI: https://doi.org/10.1115/1.2944237

Published Online: June 11, 2008

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Topics: Design, Engineers, Fatigue life, Fire, Gears, Mechanical engineering, Motors, Noise (Sound), Resolution (Optics), System dynamics

Journal Articles

An Adaptive One-Factor-at-a-Time Method for Robust Parameter Design: Comparison With Crossed Arrays via Case Studies

Daniel D. Frey, Nandan Sudarsanam

J. Mech. Des. February 2008, 130(2): 021401.

DOI: https://doi.org/10.1115/1.2748450

Published Online: December 27, 2007

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Topics: Design, Errors, Noise factors, Noise (Sound)

2 3 4

Journal citation

NARROW

Data Fusion With Latent Map Gaussian Processes

An Integrated Surrogate Modeling Method for Fusing Noisy and Noise-Free Data

Stochastic Crashworthiness Optimization Accounting for Simulation Noise

Phrase Embedding and Clustering for Sub-Feature Extraction From Online Data

Evolutionary Gaussian Processes

Automated Keyword Filtering in Latent Dirichlet Allocation for Identifying Product Attributes From Online Reviews

Scalable Adaptive Batch Sampling in Simulation-Based Design With Heteroscedastic Noise

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems

Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design

Evaluating Clustering Algorithms for Identifying Design Subproblems

Characterizing the Effects of Multiple Analogs and Extraneous Information for Novice Designers in Design-by-Analogy

Extending Expected Improvement for High-Dimensional Stochastic Optimization of Expensive Black-Box Functions

A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data

A Mixed Interval Arithmetic/Affine Arithmetic Approach for Robust Design Optimization With Interval Uncertainty

Multi-Objective Wind Farm Layout Optimization Considering Energy Generation and Noise Propagation With NSGA-II

Objective-Oriented Sequential Sampling for Simulation Based Robust Design Considering Multiple Sources of Uncertainty

Application of Multiparameter Optimization for Robust Product Design

A Manuscript's Journey

An Adaptive One-Factor-at-a-Time Method for Robust Parameter Design: Comparison With Crossed Arrays via Case Studies

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