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Anantha Narayanan
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Journal Articles

Digital Twin–Enabled Machine Learning for Smart Manufacturing

Sanjay Jain, Anantha Narayanan
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. March 2023, 7(1): 111–128.
Paper No: SSMS20220035
https://doi.org/10.1520/SSMS20220035
Published Online: July 3, 2023
View Article titled, Digital Twin–Enabled Machine Learning for Smart Manufacturing
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Journal Articles

A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection

Max Ferguson, Yung-Tsun Tina Lee, Anantha Narayanan, Kincho H. Law
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. December 2019, 3(1): 79–97.
Paper No: SSMS20190032
https://doi.org/10.1520/SSMS20190032
Published Online: December 11, 2019
View Article titled, A Standardized PMML Format for Representing Convolutional Neural Networks with Application to Defect Detection
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Proceedings Papers

A Review of Machine Learning Applications in Additive Manufacturing

Sayyeda Saadia Razvi, Shaw Feng, Anantha Narayanan, Yung-Tsun Tina Lee, Paul Witherell
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A040, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98415
https://doi.org/10.1115/DETC2019-98415
View Paper titled, A Review of Machine Learning Applications in Additive Manufacturing
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Topics: Additive manufacturing, Machine learning
Proceedings Papers

A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry

Max Ferguson, Seongwoon Jeong, Kincho H. Law, Svetlana Levitan, Anantha Narayanan, Rainer Burkhardt, Tridivesh Jena, Yung-Tsun Tina Lee
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A005, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97095
https://doi.org/10.1115/DETC2019-97095
View Paper titled, A Standardized Representation of Convolutional Neural Networks for Reliable Deployment of Machine Learning Models in the Manufacturing Industry
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Topics: Artificial neural networks, Machine learning, Manufacturing industry, Engines, Casting, Computation, Flaw detection, Manufacturing, X-rays
Journal Articles

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

Saideep Nannapaneni, Anantha Narayanan, Ronay Ak, David Lechevalier, Thurston Sexton, Sankaran Mahadevan, Yung-Tsun Tina Lee
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. February 2018, 2(1): 87–113.
Paper No: SSMS20180018
https://doi.org/10.1520/SSMS20180018
Published Online: October 2, 2018
View Article titled, Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing
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Proceedings Papers

Machine Condition Detection for Milling Operations Using Low Cost Ambient Sensors

Anantha Narayanan, Alec Kanyuck, Satyandra K. Gupta, Sudarsan Rachuri
Proc. ASME. MSEC2016, Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, V002T04A005, June 27–July 1, 2016
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2016-8666
https://doi.org/10.1115/MSEC2016-8666
View Paper titled, Machine Condition Detection for Milling Operations Using Low Cost Ambient Sensors
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Topics: Machinery, Milling, Sensors, Manufacturing, Computer software, Hardware, Data mining, Failure, Machining, Milling machines
Proceedings Papers

Identifying the Material Information Requirements for Sustainable Decision Making

Anantha Narayanan, Paul Witherell, Jae Hyun Lee, K. C. Morris, Sudarsan Rachuri
Proc. ASME. IDETC-CIE2013, Volume 2B: 33rd Computers and Information in Engineering Conference, V02BT02A018, August 4–7, 2013
Publisher: American Society of Mechanical Engineers
Paper No: DETC2013-13284
https://doi.org/10.1115/DETC2013-13284
View Paper titled, Identifying the Material Information Requirements for Sustainable Decision Making
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Topics: Decision making, Manufacturing, Sustainability
Proceedings Papers

An Information Modeling Methodology for Sustainability Standards

Anantha Narayanan, Jae Hyun Lee, Paul Witherell, Prabir Sarkar, Sudarsan Rachuri
Proc. ASME. IDETC-CIE2011, Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B, 1003-1010, August 28–31, 2011
Publisher: American Society of Mechanical Engineers
Paper No: DETC2011-48632
https://doi.org/10.1115/DETC2011-48632
View Paper titled, An Information Modeling Methodology for Sustainability Standards
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Topics: Modeling, Regulations, Sustainability
Proceedings Papers

An Approach for Identifying Gaps and Overlaps in Standards to Determine Product Applicability

Paul Witherell, Prabir Sarkar, Anantha Narayanan, Jae Hyun Lee, Sudarsan Rachuri
Proc. ASME. IDETC-CIE2011, Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B, 1275-1283, August 28–31, 2011
Publisher: American Society of Mechanical Engineers
Paper No: DETC2011-48631
https://doi.org/10.1115/DETC2011-48631
View Paper titled, An Approach for Identifying Gaps and Overlaps in Standards to Determine Product Applicability
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Topics: Disperse systems, Electronics, Electronics engineers, Hazardous substances, Regulations, Sustainability