PointSGRADE: Sparse learning with graph representation for anomaly detection by using unstructured 3D point cloud data-Reference-Cited by-同舟云学术

PointSGRADE: Sparse learning with graph representation for anomaly detection by using unstructured 3D point cloud data

Published:2023-11-27 Issue: Volume: Page:1-14
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Tao Chengyu¹²,Du Juan³⁴¹²^ORCID

Affiliation:

1. Academy of Interdisciplinary Studies, The Hong Kong University of Science and Technology, Hong Kong SAR, China

2. Guangzhou HKUST Fok Ying Tung Research Institute, Guangzhou, China

3. Smart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

4. Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Guangzhou Municipal Science and Technology Program

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2285840

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