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Journal Articles

TCN-GAWO: Genetic Algorithm Enhanced Weight Optimization for Temporal Convolutional Network

Shuhuai Gu, Qi Xi, Jing Wang, Peizhen Qiu, Mian Li
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 101703.
Paper No: MD-23-1269
https://doi.org/10.1115/1.4064809
Published Online: March 5, 2024
View Article titled, TCN-GAWO: Genetic Algorithm Enhanced Weight Optimization for Temporal Convolutional Network
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Topics: Genetic algorithms, Optimization, Time series, Weight (Mass), Artificial neural networks, Lubrication
Journal Articles

Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks

Weifei Hu, Yihan He, Zhenyu Liu, Jianrong Tan, Ming Yang, Jiancheng Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2021, 143(5): 051705.
Paper No: MD-20-1093
https://doi.org/10.1115/1.4048414
Published Online: November 17, 2020
View Article titled, Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks
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Topics: Artificial neural networks, Time series, Wind velocity, Waves
Journal Articles

Generating Technology Evolution Prediction Intervals Using a Bootstrap Method

Guanglu Zhang, Douglas Allaire, Daniel A. McAdams, Venkatesh Shankar
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. June 2019, 141(6): 061401.
Paper No: MD-18-1341
https://doi.org/10.1115/1.4041860
Published Online: January 31, 2019
View Article titled, Generating Technology Evolution Prediction Intervals Using a Bootstrap Method
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Topics: Aircraft, Statistical distributions, Transistors, Uncertainty, Aircraft engines, Time series, Turbofans
Journal Articles

Predicting Future Importance of Product Features Based on Online Customer Reviews

Huimin Jiang, C. K. Kwong, K. L. Yung
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2017, 139(11): 111413.
Paper No: MD-17-1173
https://doi.org/10.1115/1.4037348
Published Online: October 2, 2017
View Article titled, Predicting Future Importance of Product Features Based on Online Customer Reviews
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Topics: Time series, Mining, Weight (Mass)
Journal Articles

Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations

Pritthi Chattopadhyay, Sudeepta Mondal, Chandrachur Bhattacharya, Achintya Mukhopadhyay, Asok Ray
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2017, 139(11): 111419.
Paper No: MD-17-1154
https://doi.org/10.1115/1.4037307
Published Online: October 2, 2017
View Article titled, Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations
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Topics: Algorithms, Combustion chambers, Design, Design methodology, Time series, Pressure, Stability
Journal Articles

Validating Dynamic Engineering Models Under Uncertainty

Zequn Wang, Yan Fu, Ren-Jye Yang, Saeed Barbat, Wei Chen
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2016, 138(11): 111402.
Paper No: MD-16-1128
https://doi.org/10.1115/1.4034089
Published Online: September 12, 2016
View Article titled, Validating Dynamic Engineering Models Under Uncertainty
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Topics: Dynamic systems, Model validation, Signals, Simulation, Time series, Uncertainty, Dynamic models, Density, Data fusion, Engineering models
Journal Articles

Dynamic Partial Least Square Path Modeling for the Front-end Product Design and Development

Chathura Withanage, Taezoon Park, Truong Ton Hien Duc, Hae-Jin Choi
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Special Section: Strategies For Design Under Uncertainty
J. Mech. Des. October 2012, 134(10): 100907.
https://doi.org/10.1115/1.4007448
Published Online: September 28, 2012
View Article titled, Dynamic Partial Least Square Path Modeling for the Front-end Product Design and Development
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Topics: Design, Modeling, Preferences, Product design, Time series, Errors, Dynamic models, Data collection
Journal Articles

Trend Mining for Predictive Product Design

Conrad S. Tucker, Harrison M. Kim
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2011, 133(11): 111008.
https://doi.org/10.1115/1.4004987
Published Online: November 11, 2011
View Article titled, Trend Mining for Predictive Product Design
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Topics: Mining, Modeling, Product design, Time series, Design, Data mining, Preferences