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Journal Articles

Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties

Luojie Shi, Kai Zhou, Zequn Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2024, 146(7): 071701.
Paper No: MD-23-1478
https://doi.org/10.1115/1.4064159
Published Online: January 12, 2024
View Article titled, Convolutional Dimension-Reduction With Knowledge Reasoning for Reliability Approximations of Structures Under High-Dimensional Spatial Uncertainties
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Topics: Dimensions, Metamodeling, Reliability, Uncertainty, Uncertainty quantification, Finite element methods, Simulation, Regression models
Journal Articles

Multi-Objective Bayesian Optimization Supported by an Expected Pareto Distance Change

Homero Valladares, Andres Tovar
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2023, 145(10): 101705.
Paper No: MD-22-1758
https://doi.org/10.1115/1.4062789
Published Online: July 19, 2023
View Article titled, Multi-Objective Bayesian Optimization Supported by an Expected Pareto Distance Change
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Topics: Design, Optimization, Regression models, Pareto optimization, Composite materials
Journal Articles

Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model

Chenxi Yuan, Tucker Marion, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021403.
Paper No: MD-21-1418
https://doi.org/10.1115/1.4052366
Published Online: September 21, 2021
View Article titled, Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model
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Topics: Design, Regression models, Product development
Journal Articles

Identifying High-Potential Work Areas in Engineering for Global Development: Linking Industry Sectors to the Human Development Index

Daniel O. Smith, Christopher A. Mattson, Eric C. Dahlin
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2021, 143(6): 061404.
Paper No: MD-20-1395
https://doi.org/10.1115/1.4048746
Published Online: December 14, 2020
View Article titled, Identifying High-Potential Work Areas in Engineering for Global Development: Linking Industry Sectors to the Human Development Index
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Topics: Developing nations, Education, Feature selection, Manufacturing, Public utilities, Transportation systems, Regression models, Mining, Natural resources, Filters
Journal Articles

Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing

Glen Williams, Nicholas A. Meisel, Timothy W. Simpson, Christopher McComb
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2019, 141(11): 111701.
Paper No: MD-19-1160
https://doi.org/10.1115/1.4044199
Published Online: September 16, 2019
View Article titled, Design Repository Effectiveness for 3D Convolutional Neural Networks: Application to Additive Manufacturing
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Topics: Artificial neural networks, Design, Additive manufacturing, Regression models
Journal Articles

A Systematic Methodology Based on Word Embedding for Identifying the Relation Between Online Customer Reviews and Sales Rank

Dedy Suryadi, Harrison Kim
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. December 2018, 140(12): 121403.
Paper No: MD-17-1779
https://doi.org/10.1115/1.4040913
Published Online: September 18, 2018
View Article titled, A Systematic Methodology Based on Word Embedding for Identifying the Relation Between Online Customer Reviews and Sales Rank
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Topics: Laptop computers, Regression models, Sales, Filtration
Journal Articles

Automatic Facial Feature Extraction for Predicting Designers' Comfort With Engineering Equipment During Prototype Creation

Shruthi Bezawada, Qianyu Hu, Allison Gray, Timothy Brick, Conrad Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. February 2017, 139(2): 021102.
Paper No: MD-16-1285
https://doi.org/10.1115/1.4035428
Published Online: January 6, 2017
View Article titled, Automatic Facial Feature Extraction for Predicting Designers' Comfort With Engineering Equipment During Prototype Creation
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Topics: Design, Engineering prototypes, Feedback, Regression models, Support vector machines, Machinery, Teams
Journal Articles

Modeling the Semantic Structure of Textually Derived Learning Content and its Impact on Recipients' Response States

David Munoz, Conrad S. Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. April 2016, 138(4): 042001.
Paper No: MD-15-1427
https://doi.org/10.1115/1.4032398
Published Online: February 22, 2016
View Article titled, Modeling the Semantic Structure of Textually Derived Learning Content and its Impact on Recipients' Response States
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Topics: Students, Density, Engineering teachers, Eigenvalues, Regression models, Regression analysis, Modeling
Journal Articles

Consideration of Demographics and Variance in Regression Approaches to Estimating Body Dimensions for Spatial Analysis of Design

Gopal Nadadur, Matthew B. Parkinson
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2010, 132(2): 021007.
https://doi.org/10.1115/1.4000831
Published Online: January 26, 2010
View Article titled, Consideration of Demographics and Variance in Regression Approaches to Estimating Body Dimensions for Spatial Analysis of Design
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Topics: Databases, Design, Dimensions, Errors, Regression models
Journal Articles

A Distribution-Independent Plotting Rule for Ordered Failures

C. R. Mischke
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 1982, 104(3): 593–597.
https://doi.org/10.1115/1.3256391
Published Online: July 1, 1982
View Article titled, A Distribution-Independent Plotting Rule for Ordered Failures
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Topics: Density, Failure, Regression models, Reliability