U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by:

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 1 - 25 of 272

Segmentation of Additive Manufacturing Defects Using U-Net

June 30, 2022
Author(s)
Vivian W. Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Additive manufacturing (AM) provides design flexibility and allows rapid fabrications of parts with complex geometries. The presence of internal defects, however, can lead to the deficit performance of the fabricated part. X-ray computed tomography (XCT)

Segmentation of Addictive Manufacturing Defects Using U-Net

August 17, 2021
Author(s)
Vivian Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Additive manufacturing (AM) provides design flexibility and allows rapid fabrications of parts with complex geometries. The presence of internal defects, however, can lead to deficit performance of the fabricated part. X-ray Computed Tomography (XCT) is a

Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net

March 23, 2020
Author(s)
Vivian W. Wong, Max Ferguson, Kincho Law, Yung-Tsun Lee, Paul Witherell
Segmentation of defects in additive manufacturing is challenging, due to the poor contrast, small sizes and variation in appearance of defects. Automatic segmentation can however provide quality control for additive manufacturing. Over recent years, 3D

An Assistive Learning Workflow on Annotating Images for Object Detection

December 9, 2019
Author(s)
Vivian W. Wong, Max K. Ferguson, Kincho H. Law, Yung-Tsun Lee
We present an end-to-end workflow to generate annotated image datasets for object detection. With this workflow, which we call assistive learning, we are able to reduce manual annotation time on two experimental datasets by 79.4% and 83.1%. The

Infrastructure for Model Based Analytics for Manufacturing

December 9, 2019
Author(s)
Sanjay Jain, Anantha Narayanan Narayanan, Yung-Tsun Lee
Multi-resolution simulation models of manufacturing system, such as the virtual factory, coupled with analytics offer exciting opportunities to manufacturers to exploit the increasing availability of data from their corresponding real factory at different

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

August 18, 2019
Author(s)
Max K. Ferguson, Seongwoon Jeong, Kincho H. Law, Anantha Narayanan Narayanan, Svetlana Levitan, Jena Tridivesh, Yung-Tsun Lee
The use of deep convolutional neural networks is becoming increasingly popular in the engineering and manufacturing sectors. However, managing the distribution of trained models is still a difficult task, partially due to the limitations of standardized
Was this page helpful?