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Vivian Wen Hui Wong
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Proceedings Papers

Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Paul Witherell
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A054, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-109137
https://doi.org/10.1115/DETC2023-109137
View Paper titled, Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning
Open the PDF for Explainability of Laser Powder Bed Fusion Melt Pool Classification Using Deep Learning in another window
Topics: Additive manufacturing, Artificial intelligence, Artificial neural networks, Lasers, Manufacturing, Machine learning, Shapes, Decision making, Machinery, Metals
Journal Articles

Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning

Vivian Wen Hui Wong, Sang Hun Kim, Junyoung Park, Jinkyoo Park, Kincho H. Law
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. January 2024, 146(1): 011009.
Paper No: MANU-23-1290
https://doi.org/10.1115/1.4063652
Published Online: October 19, 2023
View Article titled, Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning
Open the PDF for Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning in another window
Topics: Job-shop scheduling, Machine shops, Machinery, Reinforcement learning, Artificial neural networks, Probability
Includes: Supplementary data
Proceedings Papers

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Zhuo Yang, Brandon Lane, Paul Witherell
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A070, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88313
https://doi.org/10.1115/DETC2022-88313
View Paper titled, Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods
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Topics: Additive manufacturing, Artificial neural networks, Lasers, Algorithms, Machine learning, Machinery, Manufacturing, Metals, Process control, Shapes
Journal Articles

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031005.
Paper No: JCISE-21-1266
https://doi.org/10.1115/1.4053078
Published Online: December 10, 2021
View Article titled, Segmentation of Additive Manufacturing Defects Using U-Net
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Topics: Additive manufacturing, Artificial neural networks, Image segmentation, Porosity, Computerized tomography, Shapes, Design
Proceedings Papers

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A029, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-68885
https://doi.org/10.1115/DETC2021-68885
View Paper titled, Segmentation of Additive Manufacturing Defects Using U-Net
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Topics: Additive manufacturing, Artificial neural networks, Image segmentation