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Journal Articles

Bayesian, Multifidelity Operator Learning for Complex Engineering Systems - A Position Paper

Christian Moya Calderon, Guang Lin

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1149

DOI: https://doi.org/10.1115/1.4062635

Published Online: May 30, 2023

View Article titled, Bayesian, Multifidelity Operator Learning for Complex Engineering Systems - A Position Paper

Topics: Engineering systems and industry applications, Machine learning

Journal Articles

Deep Learning-driven Design of Robot Mechanisms

Anurag Purwar, Nilanjan Chakraborty

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1055

DOI: https://doi.org/10.1115/1.4062542

Published Online: May 18, 2023

View Article titled, Deep Learning-driven Design of Robot Mechanisms

Topics: Design, Robots, Artificial neural networks, Artificial intelligence, Computer-aided design, Dimensions, Engineering systems and industry applications, Machine learning, Parametrization, Robotics

Journal Articles

A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings

Wentai Zhang, Joe Joseph, Quan Chen, Can Koz, Liuyue Xie, Amit Regmi, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1374

DOI: https://doi.org/10.1115/1.4062233

Published Online: March 29, 2023

View Article titled, A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings

Topics: Engineering drawings, Image segmentation, Machine learning, Computers, Machinery, Computer-aided design, Design, Dimensions, Engineering systems and industry applications, Manufacturing

Journal Articles

A Statistical Design of Experiments Approach to Machine Learning Model Selection in Engineering Applications

T. Munger, S. Desa

J. Comput. Inf. Sci. Eng. February 2021, 21(1): 011008.

Paper No: JCISE-20-1049

DOI: https://doi.org/10.1115/1.4047915

Published Online: August 17, 2020

View Article titled, A Statistical Design of Experiments Approach to Machine Learning Model Selection in Engineering Applications

Topics: Experimental design, Machine learning, Taguchi methods, Algorithms, Engineering systems and industry applications

Journal Articles

Automatic Extraction of Engineering Rules From Unstructured Text: A Natural Language Processing Approach

Xinfeng Ye, Yuqian Lu

J. Comput. Inf. Sci. Eng. June 2020, 20(3): 034501.

Paper No: JCISE-19-1230

DOI: https://doi.org/10.1115/1.4046333

Published Online: March 12, 2020

View Article titled, Automatic Extraction of Engineering Rules From Unstructured Text: A Natural Language Processing Approach

Topics: Machinery, Manufacturing, Natural language processing, Machine learning, Engineering systems and industry applications, Errors

Journal Articles

A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification

Tianyuan Liu, Jinsong Bao, Junliang Wang, Yiming Zhang

J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021005.

Paper No: JCISE-19-1148

DOI: https://doi.org/10.1115/1.4045294

Published Online: January 3, 2020

View Article titled, A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification

Topics: Algorithms, Artificial intelligence, Artificial neural networks, Engineering systems and industry applications, Machine learning, Machinery, Testing, Weight (Mass), Welding

Journal Articles

PDSIDES—A Knowledge-Based Platform for Decision Support in the Design of Engineering Systems

Zhenjun Ming, Anand Balu Nellippallil, Yan Yan, Guoxin Wang, Chung Hyun Goh, Janet K. Allen, Farrokh Mistree

J. Comput. Inf. Sci. Eng. December 2018, 18(4): 041001.

Paper No: JCISE-17-1114

DOI: https://doi.org/10.1115/1.4040461

Published Online: July 3, 2018

View Article titled, PDSIDES—A Knowledge-Based Platform for Decision Support in the Design of Engineering Systems

Topics: Design, Engineering systems and industry applications, Ontologies

Journal Articles

Secure Collaboration in Engineering Systems Design

Shumiao Wang, Siddharth Bhandari, Siva Chaitanya Chaduvula, Mikhail J. Atallah, Jitesh H. Panchal, Karthik Ramani

J. Comput. Inf. Sci. Eng. December 2017, 17(4): 041010.

Paper No: JCISE-16-2090

DOI: https://doi.org/10.1115/1.4036615

Published Online: June 15, 2017

View Article titled, Secure Collaboration in Engineering Systems Design

Topics: Collaboration, Design, Security, Engineering systems and industry applications, Leakage, Tires, Suspension systems

Journal Articles

A System Framework With Online Monitoring and Evaluation for Design Evolution of Engineering Systems

L. B. Gamage, C. W. de Silva

J. Comput. Inf. Sci. Eng. September 2010, 10(3): 034501.

DOI: https://doi.org/10.1115/1.3462919

Published Online: September 1, 2010

View Article titled, A System Framework With Online Monitoring and Evaluation for Design Evolution of Engineering Systems

Topics: Design, Machinery, Engineering systems and industry applications

Journal Articles

Special Issue on Solid Modeling Theory and Engineering Applications

Gershon Elber, Vadim Shapiro

J. Comput. Inf. Sci. Eng. December 2003, 3(4): 273.

DOI: https://doi.org/10.1115/1.1632527

Published Online: December 24, 2003

View Article titled, Special Issue on Solid Modeling Theory and Engineering Applications

Topics: Engineering systems and industry applications, Solid modeling

Journal Articles

Assessment of VR Technology and its Applications to Engineering Problems

Sankar Jayaram, Mem. ASME, Judy Vance, Mem. ASME, Rajit Gadh, Mem. ASME, Uma Jayaram, Mem. ASME, Hari Srinivasan, Mem. ASME

J. Comput. Inf. Sci. Eng. March 2001, 1(1): 72–83.

DOI: https://doi.org/10.1115/1.1353846

Published Online: January 1, 2001

View Article titled, Assessment of VR Technology and its Applications to Engineering Problems

Topics: Computer software, Computers, Design, Hardware, Virtual reality, Manufacturing, Simulation, Haptics, Engineering systems and industry applications, Computer-aided design

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Bayesian, Multifidelity Operator Learning for Complex Engineering Systems - A Position Paper

Deep Learning-driven Design of Robot Mechanisms

A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings

A Statistical Design of Experiments Approach to Machine Learning Model Selection in Engineering Applications

Automatic Extraction of Engineering Rules From Unstructured Text: A Natural Language Processing Approach

A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification

PDSIDES—A Knowledge-Based Platform for Decision Support in the Design of Engineering Systems

Secure Collaboration in Engineering Systems Design

A System Framework With Online Monitoring and Evaluation for Design Evolution of Engineering Systems

Special Issue on Solid Modeling Theory and Engineering Applications

Assessment of VR Technology and its Applications to Engineering Problems

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