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Journal Articles

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

Seyoung Park, Harrison M. Kim

Publisher: ASME

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

Paper No: MD-21-1257

https://doi.org/10.1115/1.4052904

Published Online: December 6, 2021

View Article titled, Phrase Embedding and Clustering for Sub-Feature Extraction From Online Data

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

Journal Articles

Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews

Jinju Kim, Seyoung Park, Harrison M. Kim

Publisher: ASME

J. Mech. Des. February 2022, 144(2): 024501.

Paper No: MD-21-1175

https://doi.org/10.1115/1.4052789

Published Online: November 9, 2021

View Article titled, Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews

Topics: Batteries, Data collection, Design, Feature extraction, Preferences, Profitability, Product design

Journal Articles

Microstructure Representation and Reconstruction of Heterogeneous Materials Via Deep Belief Network for Computational Material Design

Ruijin Cang, Yaopengxiao Xu, Shaohua Chen, Yongming Liu, Yang Jiao, Max Yi Ren

Publisher: ASME

J. Mech. Des. July 2017, 139(7): 071404.

Paper No: MD-16-1674

https://doi.org/10.1115/1.4036649

Published Online: May 19, 2017

View Article titled, Microstructure Representation and Reconstruction of Heterogeneous Materials Via Deep Belief Network for Computational Material Design

Topics: Design, Filters, Alloys, Feature extraction

Journal Articles

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

Sunghoon Lim, Conrad S. Tucker

Publisher: ASME

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

Paper No: MD-15-1456

https://doi.org/10.1115/1.4033238

Published Online: April 20, 2016

View Article titled, A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data

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

Journal Articles

Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews

Feng Zhou, Roger Jianxin Jiao, Julie S. Linsey

Publisher: ASME

J. Mech. Des. July 2015, 137(7): 071401.

Paper No: MD-14-1525

https://doi.org/10.1115/1.4030159

Published Online: July 1, 2015

View Article titled, Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews

Topics: Algorithms, Construction, Data collection, Databases, Design, Fire, Preferences, Support vector machines, Semantics, Redundancy (Engineering)

Journal Articles

Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

Suppawong Tuarob, Conrad S. Tucker

Publisher: ASME

J. Mech. Des. July 2015, 137(7): 071402.

Paper No: MD-14-1611

https://doi.org/10.1115/1.4030049

Published Online: July 1, 2015

View Article titled, Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

Topics: Algorithms, Data collection, Feature extraction, Mining, Product development, Design, Preferences

Journal Articles

MEDIATOR: A Resource Adaptive Feature Recognizer that Intertwines Feature Extraction and Manufacturing Analysis

D. M. Gaines, F. Castan˜o, C. C. Hayes

Publisher: ASME

J. Mech. Des. March 1999, 121(1): 145–158.

https://doi.org/10.1115/1.2829415

Published Online: March 1, 1999

View Article titled, MEDIATOR: A Resource Adaptive Feature Recognizer that Intertwines Feature Extraction and Manufacturing Analysis

Topics: Feature extraction, Manufacturing, Production planning, Design, Milling

Journal Articles

Automatic Determination of Feature Interactions in Design-for-Manufacturing Analysis

R. Gadh, F. B. Prinz

Publisher: ASME

J. Mech. Des. March 1995, 117(1): 2–9.

https://doi.org/10.1115/1.2826113

Published Online: March 1, 1995

View Article titled, Automatic Determination of Feature Interactions in Design-for-Manufacturing Analysis

Topics: Computer-aided design, Design for Manufacturing, Feature extraction, Solid models

Journal Articles

Feature Extraction for Casting Core Development

M. A. Ganter, P. A. Skoglund

Publisher: ASME

J. Mech. Des. December 1993, 115(4): 744–750.

https://doi.org/10.1115/1.2919263

Published Online: December 1, 1993

View Article titled, Feature Extraction for Casting Core Development

Topics: Casting, Feature extraction, Geometry, Solid models, Hull, Solid modeling

Journal citation

NARROW

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

Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews

Microstructure Representation and Reconstruction of Heterogeneous Materials Via Deep Belief Network for Computational Material Design

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

Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews

Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

MEDIATOR: A Resource Adaptive Feature Recognizer that Intertwines Feature Extraction and Manufacturing Analysis

Automatic Determination of Feature Interactions in Design-for-Manufacturing Analysis

Feature Extraction for Casting Core Development

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