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Journal Articles

Exploring Machine Learning and Machine Vision in Femtosecond Laser Machining

Julia K. Hoskins, Han Hu, Min Zou

Publisher: ASME

ASME Open J. Engineering. January 2023, 2: 024501.

Paper No: AOJE-22-1158

https://doi.org/10.1115/1.4063646

Published Online: November 6, 2023

View Article titled, Exploring Machine Learning and Machine Vision in Femtosecond Laser Machining

Topics: Lasers, Machine learning, Machinery, Machining, Multilayer perceptron, Errors

Journal Articles

Prediction of Laminar Burning Speed of Propane/Hydrogen/Air Mixtures Using Power-Law Correlation and Two Machine Learning Models

Zhenyu Lu, Hameed Metghalchi

Publisher: ASME

ASME Open J. Engineering. January 2023, 2: 021038.

Paper No: AOJE-23-1055

https://doi.org/10.1115/1.4062745

Published Online: July 18, 2023

View Article titled, Prediction of Laminar Burning Speed of Propane/Hydrogen/Air Mixtures Using Power-Law Correlation and Two Machine Learning Models

Topics: Artificial neural networks, Combustion, Hydrogen, Pressure, Temperature, Support vector machines, Machine learning

Journal Articles

Electroencephalogram Experimentation to Understand Creativity of Mechanical Engineering Students

Md Tanvir Ahad, Tess Hartog, Amin G. Alhashim, Megan Marshall, Zahed Siddique

Publisher: ASME

ASME Open J. Engineering. January 2023, 2: 021005.

Paper No: AOJE-22-1083

https://doi.org/10.1115/1.4056473

Published Online: January 11, 2023

View Article titled, Electroencephalogram Experimentation to Understand Creativity of Mechanical Engineering Students

Topics: Creativity, Electroencephalography, Electrodes, Machine learning, Signals

Journal Articles

Machine Learning the Concrete Compressive Strength From Mixture Proportions

Xiaojie Xu, Yun Zhang

Publisher: ASME

ASME Open J. Engineering. January 2022, 1: 011037.

Paper No: AOJE-22-1049

https://doi.org/10.1115/1.4055194

Published Online: August 25, 2022

View Article titled, Machine Learning the Concrete Compressive Strength From Mixture Proportions

Topics: Blast furnaces, Carbon capture and storage, Cements (Adhesives), Compressive strength, Concretes, Fly ash, Machine learning, Slags, Superplasticizers, Water

Journal Articles

Product Competition Prediction in Engineering Design Using Graph Neural Networks

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

Publisher: ASME

ASME Open J. Engineering. January 2022, 1: 011020.

Paper No: AOJE-21-1034

https://doi.org/10.1115/1.4054299

Published Online: May 9, 2022

View Article titled, Product Competition Prediction in Engineering Design Using Graph Neural Networks

Topics: Artificial neural networks, Automobiles, Design, Engineering design, Modeling, Machine learning, Trains, Construction

Journal citation

NARROW

Exploring Machine Learning and Machine Vision in Femtosecond Laser Machining

Prediction of Laminar Burning Speed of Propane/Hydrogen/Air Mixtures Using Power-Law Correlation and Two Machine Learning Models

Electroencephalogram Experimentation to Understand Creativity of Mechanical Engineering Students

Machine Learning the Concrete Compressive Strength From Mixture Proportions

Product Competition Prediction in Engineering Design Using Graph Neural Networks

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

Exploring Machine Learning and Machine Vision in Femtosecond Laser Machining

Prediction of Laminar Burning Speed of Propane/Hydrogen/Air Mixtures Using Power-Law Correlation and Two Machine Learning Models

Electroencephalogram Experimentation to Understand Creativity of Mechanical Engineering Students

Machine Learning the Concrete Compressive Strength From Mixture Proportions

Product Competition Prediction in Engineering Design Using Graph Neural Networks

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

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